Education Experience

Personal website: http://stat.ruc.edu.cn/teacher_more.php?id=54&cid=25 Ph. D. (2001), University of Nan Kai, China M. A. (1998), University of Hunan, China B. S. (1991), National University of Defense Technology, China B. S. (1993), Hunan Institute of Education, China

Work Experience

Scientific experience  2017.01—2017.03, Columbia University, USA  2015.11—2015.11, Doshisha University, Japan  2015.09—2015.10, Rhodes, Greece  2013.03—present, Flying Apsaras Scholar of Ganzu Province  2012.12—2013.01, Visiting Scholar of the Faculty of Economic, University of Florence, Italy.  2012.10—2012.11, Visiting Scholar of Tokyo University, Japan  2012.08—2012.09, Visiting Scholar of Manchester University, University of Brunel, United Kingdom.  2011.12—2012.03, Visiting Scholar of Yale University, United States of America.  2011.07, Visiting Scholar of the Chinese University of Hong Kong, Hong Kong.  2010.10.5—10 SFB fellow, Humboldt University，Germany  2009.12—2010.1 SFB fellow, Humboldt University，Germany  2008.10—2009.11, Research Fellow, University of Melbourne, Australia  2008.07—2009. 01, SFB fellow, Humboldt University, Germany  2008.03—2008.06, Visiting Research Scholar of Baptist University of Hong Kong, Hong Kong.  2007.08—2007. 11, Visiting Research Scholar of Baptist University of Hong Kong, Hong Kong.  2005.07—2007.2, Postdoctoral fellow, the Chinese University of Hong Kong and the Baptist University of Hong Kong, Hong Kong.  2004.11—2005.02, Associate researcher, the Chinese University of Hong Kong, Hong Kong.  2004.01—07, Postdoctoral fellow, Department of Mathematics and Statistics, University of Calgary, Canada.  2002.01—2003.12, Postdoctoral fellow, Canadian Center for Advanced Studies of National Databases, University of Alberta, Canada.  2002.08—2002.11, Assistant Researcher, Chinese University of Hong Kong, Hong Kong.  2001.06—2004.08, Postdoctoral fellow, Academy of Mathematics and System Sciences, Chinese Academy of Sciences, China.

Grants

 The major research projects of philosophy and social science of the Chinese Ministry of Education (No.15JZD015)  The project supported by the Major Program of Beijing Philosophy and Social Science Foundation of China (No.15ZDA17)  The project of Ministry of Education supported by the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No.20130004110007)  The Key Program of National Philosophy and Social Science Foundation Grant (No.13AZD064)  The major Project of Humanities Social Science Foundation of Ministry of Education (No.15JJD910001)  Renmin University of China: the special developing and guiding fund for building world-class universities (disciplines) (No.15XNL008)  The China Statistical Research Project (No. 2016LD03)

Courses

1. Faculty positions Assistant, China Insurance University (1994) Associate professor, Renmin University of China (2004) Full professor, Renmin University of China (2008-present) Distinguished Professor of Lanzhou University of Finance & Economics, The Project of Flying Apsaras Scholar of Gansu Province (2013-present)  2. Postgraduate courses (Renmin University of China) Statistical Models (3 hours) Quantile Regression (2 hours) Hierarchical Models (3 hours) Modern Statistical Theory and Methods (2 hours) Saddlepoint Approximations (2 hours) Statistical Estimation of Epidemiological Risk (2 hours) Statistical Analysis with Complex Data (2 hours) Frontiers in Statistics (2 hours) Computer Intensive Methods (2 hours) Quantitative Risk Management (3 hours) Advanced Statistics (3 hours) The Fundamental Advanced Statistics for Phd Students (3 hours) High Dimensional Data Analysis (2 hours) Statistical Modeling (2 hours) 3. Undergraduate course (The Renmin University of China) Statistical Computation (2 hours) Regression Analysis (3 hours) Statistical Diagnostics (3 hours) Mathematical Statistics (3 hours) Multivariate Statistical Analysis (3 hours) 4. PH.D STUDENTS SUPERVISED (17)  2018  Yanxia Liu (刘艳霞)：978981639@qq.com  Shaopei Ma (马少沛)：982818291@qq.com  2017  Yongxin Bai (白永昕)：978981639@qq.com  Li Tao (陶丽)：18810684228@163.com  2016  Lingna Tai (邰凌楠): int_eve@163.com  Maobo Yan (闫懋博): ryustage@163.com  2015  Erqian Li (李二倩): li2qian@mail.ustc.edu.cn  Bo Mei (梅波): meibo119@126.com  2014  Xiaowen Dai (戴晓文)：daixiaowendaisy@163.com  Yanan Hu (胡亚南)：yananhu@139.com  2013  Yanke Wu (吴延科): yanke.wu@163.com  Zhen Yan (晏振)：mathyanzhen@163.com  2012 Jian Zhou (周健): zhoujianrss@ruc.edu.cn Wei Xiong (熊巍)：xwhehe.26@163.com  2011 Yuzhu Tian (田玉柱)：pole1999@163.com  2010 Yunan Su (苏宇楠)：salinasu@163.com  2009 Youxi Luo (罗幼喜)：youxiluo@163.com 5. POSTDOCTORAL FELLOWS SUPERVISED (3)  2018 Yongxia Zhang (张永霞)：bingningyu@ruc.edu.cn  2015 Liwen Xu (徐礼文)：xulw163@163.com  2014 Zonghu Wang (王纵虎)：zonghuwang@petrochina.com.cn 6. MASTER STUDENTS SUPERVISED（95）  2018 Jingxuan Guo (郭婧璇): jxguo1996@foxmail.com Congyue Li (李聪玥): 1511200032@qq.com Rongxiang (芮荣祥)：raynerrui@qq.com Yihao Wang (王一昊): 1219740476@qq.com Zhen Yu (虞祯): amy.yuzhen@foxmail.com Mengyu Zhou (周梦雨) 17839165206@163.com Yu Liu (刘娱) 1505011270@qq.com Chen Liang (梁辰) liangchen@bcicc.com  2017 Rui Cao (曹睿): cronaldo@ruc.edu.cn Liner Gao (高霖儿): 908611593@qq.com Jincun Guo (郭锦纯): 790354515@qq.com Zikun Han (韩梓坤): 675858114@ qq.com Jinwen Liang (梁晋雯):liangjinwen@ruc.edu.cn Xu Zhang (张旭): 494480761@qq.com Juan Mu (慕娟): 18294407827@163.com Chonglinag Zhang (张茺喨): 471289473@qq.com Huan Zhang (张欢): zhangh33@126.com Yang Liu (刘洋): 13439621644@126.com Yanfei Sun (孙燕飞): syfcab@126.com  2016 LingxinDang (党领欣): danglingxin@163.com Tingting Li (李婷婷): 18037217803@qq.com Yijian Liu (刘一鉴): muse726@163.com Peng Su (苏鹏): 503545157@qq.com Lan Yang (杨澜): yanglan14991@163.com Ying Yu (余颖): 1764785945@qq.com, yuying_ruc@163.com Ruoxuan Zhang(张若璇): kdzrx@mail.ustc.edu.cn, rdzrx@ruc.edu.cn Lili Xia (夏丽丽)： BJxialili@163.com Weixian Wang (王维贤)： 512620510@qq.com  2015 Xiaoshen He (何晓申)：skss309@163.com Yarong Wang (王亚荣)：963492308@qq.com Yanfei Jia (贾燕飞)：973976831@qq.com Ye Liu (刘烨)：465499119@qq.com Manling Qian (钱曼玲): 894154717@qq.com Li Tao (陶丽)：18810684228@163.com Chunyu Wang (王春雨): cywang0315@126.com Zhang Taotao (张陶陶)：zhangtaotao604@163.com Yuhan Zhou (周雨菡)：zhouyuhan_001@163.com Dongmei Tian (田东梅): tiandongmei_1017@163.com Tianjia Zhang (张田佳): tracy1023@foxmail.com  2014 Meichuan Gu (谷梅川): gramce@163.com Lei Li (李蕾): 331433671@qq.com Shaoyang Li (李少洋): li.shaoyang.lsy@gmail.com li.shaoyang@yahoo.com Xintao Tian (田鑫涛): xttian90@126.com Shan Wang（王珊）： 476975074@qq.com Bo Yuan (袁博)：yb1992yuanbo@163.com Yuanjie Zhang (张元杰)：jianyouyan@163.com Yongxin Bai (白永昕)：978981639@qq.com Mengya Hu (胡梦雅)：humengya@nssc.ac.cn  2013 Erqian Li (李二倩): li2qian@mail.ustc.edu.cn Jing Luo (罗静): luojing839036277@qq.com Puxin Shi (史普欣)：gonewday@163.com Xiaohe Wang (王晓荷) wxh1234____@hotmail.com Meng Yuan (袁梦)：2013102866@ruc.edu.cn  2012 Xiaolin Liang (梁晓琳)：liangxiaolinlxl@163.com Chuntao Ma (马春桃)：machuntao1990@126.com Chuoxin Ma (马绰欣)：horse1141@163.com Lingbin Meng (孟令宾)：menglb2011@sina.com ， victorymeng2012@163.com Zhen Wang (王榛）：schumilk@hotmail.com Yaqi Yang (杨亚琦)：yangyaqihappy@163.com Yalli Zhang (张亚丽)：zhyli0504@126.com  2011 Jing He (何静)：tongji20072011@163.com Yanan Hu (胡亚南)：yananhu@139.com Yali Huag (黄雅丽)：642472396@qq.com Qian Li (李茜)：lily29.lee@gmail.com , sukikazuya@126.com Suqian Liu (刘甦倩): vivian890721@sina.com Shuang Lv (吕爽)：15830698739@163.com Qianqian Zhu (朱倩倩)：zhunanapig@126.com , zhunanapig@aliyun.com  2010 Zhaoji Chu (储昭霁)：zhaojichu@126.com Dadao Feng (封达道)：fengdadao@gmail.com Zhaoyuan Li (李兆媛)：lzyruc@gmail.com ，zyli12@hku.hk Shijing Si (司世景)： sisijing2006@163.com Wentao Xia (夏文涛)：xwt0410@163.com Wei Xiong (熊巍)：xwhehe.26@163.com  2009 Liang Yan (陈彦靓)：couragecyl@163.com Jie Guo (郭洁)：05271064@bjtu.edu.cn Yanfei Kang (康雁飞)：yanfei.kang@monash.edu， feizai060@sina.com Yaohua Rong (荣耀华)： rongyaohua163@163.com Wei Wang (王伟)： fjxpwangwei@163.com  2008 Shujing An(安姝静)：jingjbaobao@126.com, jingjbaobao@126.com Boyu Chen(陈博钰)：happy.cby@ruc.edu.cn ，happy.cby@163.com Bowen Fan(范博文)：nekoferry@yahoo.com.cn Yan Fan (范燕)：fan-yan1985@163.com Chunbo Jiang (姜春波)：jcb325@163.com Weihua Ma(马维华)：maweihua168@sina.com Yunan Su(苏宇楠)：salinasu@163.com Yuanyuan Zhang (张圆圆)：apple04072430@126.com  2007 Jieyu Fan (范洁瑜)：yuyu_fan@126.com , yuyufan05@gmail.com Ning Zhang (张宁)：ningzhang198412@163.com ，jacosin@163.com Cheng Dai (戴成)：daicheng@ruc.edu.cn Zhenchao Qian (钱政超)：ciciyy111.student@sina.com Hengze Shi (石恒泽)：stone_hengze@yahoo.com.cn Jian Zhou (周健): zhoujianrss@ruc.edu.cn  2006 Pengpeng Zhou (周朋朋)：peng.zhou@ruc.edu.cn , chowpengpeng@gmail.com  2005 Yuan Li (李远): i222@ruc.edu.cn 7. UNDERGRADUATE THESES SUPERVISED (47)  2004 Chuanneng Huan (黄传能)：cnhuang_2008@163.com Tian Chen (陈甜)：trollycn@gmail.com Mengque Liu (刘蒙阕): lmqchristina@hotmail.com Rui Pan (潘蕊): panrui.ioio@gmail.com Huan Wang (王欢)： huanhuan1985@yahoo.cn Ke Wen (文科): liudehuaiou@sina.com  2005 Hao Bo (薄皓): thomas.halcyon@gmail.com Han Chen (陈涵) han198706291aa@163.com Jian Wang (王剑): wangjian0516@gmail.com Wei Wang (王伟)：fjxpwangwei@163.com  2006 Zhong Gao (高仲): gaozhong4858@hotmail.com Lanfeng Pan (潘岚锋)：panlanfeng@gmail.com  2007 Qi An (安琪)：anqier89@126.com Jing Chen (陈静)：fionafun@126.com Lu Li (李璐)： xxlunaxx@qq.com Chengcheng Liu ( 刘程程)：yatoucheng@w.cn , Chengcheng.Liu@sc.com Cong Shen (沈聪)：shencongpearl@126.com  2008 NULL  2009 Sai Li (李赛): saili.forward@gmail.com Xuecong Jia (贾雪骢): jiaxuecong@163.com Shilun Qu ( 曲施伦)：ai4inmortal@sina.com Chenyang Zhang (张晨阳): zhangcy0114@163.com Shinan Zhou(周诗楠): zhoushinan52@163.com  2010 Shiruo Cao (曹诗若)：caoshiruo1234@163.com Minjia Chen(陈岷佳) minjia2010@ruc.edu.cn Zhouyang Linghu (令狐洲洋): linghuzhouyang@ruc.edu.cn Mengxi Wang (王梦溪): dlovenforever@hotmail.com JingWu (武竞): ruc_jingwu@163.com Qile Yang (杨其乐): larry0317@gmail.com  2011 Zhangzhi Cao (曹彰之): caozhangzhi@ruc.edu.cn Jie Song (宋洁): jone_song@163.com; 499170335@qq.com Jia Wang (王佳): wangjia_1993@163.com Shuang Wang (王爽): 18810310869@163.com Taotao Zhang (张陶陶): zhangtaotao604@163.com  2012 Yue Bai (白玥): baiyue@ruc.edu.cn Yuan Mei (梅园): 1064389901@qq.com Wensha Zhang (张文莎): 641761367@qq.com  2013 Yuanfang Qiao(乔媛芳): 597979303@qq.com Yongxin Shuai (帅咏昕): shuai.yongxin@163.com Ke Wang (王可): 853885892@qq.com Lan Wang (王岚): 2996306800@ruc.edu.cn Chenling Yang (杨晨泠): annabelyang@qq.com Qi Zheng (郑琪): preciousnereus@163.com  2014 Yuqing Lu (芦雨晴): 15010788672@163.com Yurong Wang (王宇榕): muliwyr@163.com  2015 Yuxuan Li(李宇轩): lyx2015201568@ruc.edu.cn Yuting Qin (秦宇婷): 15061808256@163.com Huilin Zhang(张慧琳): 2015201057@ruc.edu.cn 8. VISITING SCHOLARS SUPERVISED (5)  2018 Ming Xie (解铭) nalanyu1984@126.com  2016 Jing Guo (郭晶)：497941022@qq.com  2014 Chahua Ye (叶茶花)：893954843@qq.com  2011 Yanping Ran (冉延平)：yanpingran@sina.com  2009 Junlin Han (韩俊林)：hanjunlin001@vip.163.com

Research Interest

Quantile regression; Hierarchical models; Hierarchical- quantile regression modeling; Big data modeling; Adaptive smoothing; Bayesian statistical inference; Computer intensive methods; Extremes and heavy tails; Functional data analysis; Financial econometrics and risk management; High dimension reduction; Inverse problems; Large sample theory; Large scale data analysis; Model selections; Nonparametric and semiparametric modeling; Order statistics; Quantitative finance; Robust statistics; Saddle point approximations with applications; Spatial-Temporal modeling; Statistical diagnostics; Statistical methods in epidemiological risk; Stochastic simulations; Time series modeling; Volatility modelling,......

Publications

Publications Books Wu, X. Z. and Tian, M. Z. (2003), Diagnostics for Modern Regression Models. China Statistical Press. (In Chinese) Tian, M. Z. (2011), Discovery and Innovation. Page 48–50, China Statistical Press. (In Chinese) Gao, M. and Tian, M. Z., et al. (2013). Selected Empirical Analysis for Teaching in The Major of Statistics. Page 166–224, Chapter 7, (In Chinese) Tian, M. Z. (2014). Theory, Methodology and Applications for Complex Data Statistical Inference, Science Press. (In Chinese) Tian, M. Z. (2015). Quantile Regression & Complex Hierarchical Data Analysis，China Intellectual Property Publishing House. Tian, M. Z. (2015). Advanced Theory for Hierarchical Quantile Modeling, Science Press. (In Chinese) Tian, M. Z. (2015). Model Hierarchical Quantile Regression–Theory, Methodology and Applications, Tsinghua University Press. (In Chinese) Tian, M. Z. (2017), Multivariate Statistical Analysis with R, China Renmin University Press. Tian, M. Z. (2019). Bandwidth Selection and Its Applications in Modern Nonparametric Statistics, China Science Press. (In Chinese) Tian, M. Z. (2021), Hierarchical Quantile Modeling Theory, Methodology and Applications, Science Press, Springer-Verlag. (In English, under press). Tian, M. Z. (2021), Advanced Multivariate Statistical Analysis, Science Press, (to appear). Tian, M. Z. (2021), Theory and Methodology of Monitoring and Prediction of Economic Situation Based on Big Data, Tsinghua University Press, (to appear). Selected papers  2021 1. Liang, J. W., Zhang, X. L., Wang, K., Tang, M. L. and Tian, M. Z. (2021). Discovering Dynamic Models of COVID-19 Transmission. Transboundary and Emerging Diseases, https://doi.org/10.1111/tbed.14263, (SCI, Q1). 2. Yang, H. X., Xiong, W., Zhang, X. L., Wang, K. and Tian, M. Z. (2021). Penalized Homophily Latent Space Models for Directed Scale-free Networks. Plos One, 16(8): e0253873. https://doi.org/10.1371/journal.pone.0253873, (SCI, Q1). 3. Bai, Y. X., Tian, M. Z., Tang, M. L. and Lee, W. Y. (2021). Variable Selection for Ultra- high Dimensional Quantile Regression with Missing Data and Measurement Error. Statistical Methods in Medical Research, 30 (1), 129–150, (SCI, Q1). 4. Ma, S. P. and Tian, M. Z. (2021). Heteroscedasticity Testing for Semi-parametric Multi-index Models Based on Partial Dimension Reduction Method. Science in China Series A: Mathematics, https://doi.org/10.1360/SSM-2019-0288 , (SCI, EI, Q1), (CSSCI). 5. Rui, R. X., Tian, M. Z., Tang, M. L., Ho, T. S. and Wu, C. H. (2021). Analysis of the Spread of COVID-19 in the USA with Spatio-Temporal Multivariate Time Series Model. International Journal of Environmental Research and Public Health, 18 (2), 774, (SCI, Q2). 6. Zhou, P., Yu, Z., Tian, M. Z. and Ma, J. Y. (2021). Communication-Efficient Distributed Estimation for Generalized Linear Models with a Diverging Number of Covariates. Computational Statistics and Data Analysis, 157 ,107154, https://doi.org/10.1016/j.csda.2020.107154, (SCI). 7. Tian, Y. Z. Tang, M. L. Chan, W. S. and Tian, M. Z. (2021). Bayesian Bridge-Randomized Penalized Quantile Regression for Ordinal Longitudinal Data, with Application to Firm`s Bond Ratings. Computational Statistics, 36 (2), 1289–1319, (SCI). 8. Rui, R. X. and Tian, M. Z. (2021). Joint Estimation of Case Fatality Rate of COVID-19 and Power of Quarantine Strategy Performed in Wuhan, China. Biometrical Journal, 63 (1), 46–58, (SCI, Q3). 9. Ma, S. P., Sun, Q. H, Wu, Y. X. and Tian, M. Z. (2021). Research on Tensor Sufficient Dimension Reduction Method and Its Application. Statistical Research, 38 (02):114-134, (CSSCI). 10. Yan, M. B. and Tian, M. Z. (2021). Selection of High Dimensional Variables Based on Randomized Adaptive Lasso. Statistical Research, 38 (1): 147-160, (CSSCI). 11. Bai, Y. X. and Tian, M. Z. (2021). Variable Selection for Sparse Nonlinear Functional Model. Statistical Research, 38 (5):109 – 120. (CSSCI). 12. Wang, Z. H, Liu, Y. X., Tian, M. Z. and Chen, X. K. (2021). Functional Partially Varying Coefficient Models for Zero-Inflated Count Data. Statistical Research, 38 (7), 127 – 139, (CSSCI). 13. Tian, Y. Z., Wang, L. Y. Tang, M. L., and Tian, M. Z. (2021), Weighted Composite Quantile Regression for Longitudinal Mixed Effects Models with Application to AIDS Studies. Communications in Statistics - Simulation and Computation, https://doi.org/10.1080/03610918.2019.1610440, 50 (6), 1837–1853, (SCI, EI) 14. Dai, X. W., Li, E. Q. and Tian, M.Z. (2021). Quantile Regression for Varying Coefficient Spatial Error Models, Communications in Statistics – Theory and Methods, 50 (10), 2382– 2397, (SCI, EI). 15. Hu, Y. N., Wang, J. T. and Tian, M. Z. (2021). Estimation and Variable Selection for Semiparametric Spatial Quantile Regression Model. Journal of Applied Statistics and Management, 1-15, https://doi.org/10.13860/j.cnki.sltj.20210722-006 , accept, (CSSCI, CSCD). 16. Liu, Y. X., Rui, R. X. and Tian, M. Z. (2021). A Novel Profile Composite Quantile Regression Estimation for the Partial Linear Variable-Coefficient Model. Acta Mathematicae Applicatae Sinica, 44 (2), 159–174, (CSCD). 17. Cao, R. and Tian, M. Z. (2021). Study on Executive Compensation of Private Listed Companies Based on Unconditional Quantile Regression, Systems Engineering-Theory & Practice, 41(1): 24–33, (EI, CSCD). 18. Kurbanyaz, G, Meng, L. J., and Tian, M.Z. (2021). Confidence Interval Construction for Conditional Odds Ratio in Matched-Pair Design, Journal of Systems Science and Mathematical Sciences, 41(03):824 – 836. (SCD). 19. Zhang, Y. X., Meng, S. W., and Tian, M. Z. (2021). A Semi-parametric Bayesian Hierarchical Quantile Regression Model and Its Application in Analysis of Insurance Company Costs. Journal of Applied Statistics and Management, 40 (3):381 – 394, (CSSCI, CSCD). 20. Hou, J. and Tian, M. Z. (2021). Parameter Estimation of Mixed-GTWR Based on Variable Selection. Journal of Mathematics in Practice and Theory, 51(7), 110–118, (CSCD). 21. Liu, Y., An, B. W. and Tian, M. Z. (2021). Likelihood Test and Model Comparison of Zero- and-one-inflated Poisson Model. Statistics & Decision, 37 (13), 20–24, (CSSCI, CSCD). 22. Hou, J., Wang, Z. H., Tian, M. Z. and Dou, Y. (2021). Research on Influencing Factors of House Prices Based on Multi-Bandwidth GWTR Model. Journal of Applied Statistics and Management, 1-12, https://doi.org/10.13860/j.cnki.sltj.20210722-025 , (CSSCI, CSCD). 23. Chu, Z. J., Tai, L. N., Xiong, W., Guo, X. and Tian, M. Z. (2021). The Horvitz-Thompson Weighting Method for Quantile Regression Estimation in the Presence of Missing Covariates. Journal of Mathematical Research with Applications, 41(3):303-322, (CSCD). 24. Zhou, M. Y. and Tian, M. Z. (2021). Statistical Inference of Hierarchical Linear Regression Model Based on Nested Structure. Statistics and Application, 10 (1), 173–182, (CSCD). 25. Tian, Y., Ma, S. P., Rui, R. X., Yu, Z. and Tian, M. Z. (2021). The Analysis of Impact of Brexit on the Post-Brexit EU Using Intervented Multivariate Time Series, Acta Mathematicae Applicatae Sinica (English Series), 37 (3), 441–458, (SCI). 26. Hu, Y. N., Wang, J. T. and Tian, M. Z. (2021). High-dimensional Partially Linear Additive Spatial Quantile Regressive Model. Journal of Applied Statistics and Management, No.20- 0D85, accept, (CSSCI, CSCD). 27. Zhang, Y. X. and Tian, M. Z. (2021). Joint Modeling of Count-Continuous Data and Its Application. Statistics & Decision, No. 200114857, (CSSCI), accept, (CSSCI). 28. Zhang, Y. X. and Tian, M. Z. (2021). Research and Application of Partial Linear Single Index Composite Quantile Regression Based on Bayesian. Journal of Systems Science and Mathematical Sciences, 41(5):1381–1399., (CSSCI). 29. Liu, Y. and Tian, M. Z. (2021). Analysis of The Temporal and Spatial Differences of the Expenditure of Basic Pension Fund for Urban Workers–Based on GTWR Model and Panel Quantile Regression Model. Journal of Shanxi Normal University (Natural Science Edition), 35 (1):22-28., (CSCD). 30. Kurbanyaz, G, and Tian, M.Z. (2021). The Construction of Test Statistics for Odds Ratio Under Independent Inverse Sampling, Statistics and Decision, accept, (CSSCI). 31. Liu, Y. X., Wang, Z. H., Rui, R. X. and Tian, M. Z. (2021). Estimation for Generalized Varying Coefficient Partially Functional Linear Models. Journal of Systems Science and Mathematical Sciences, No. 20261, accept, (CSCD). 32. Rui, R. X., Liu, Y. X., Wang, Y. H. and Tian, M. Z. (2021). High-dimensional Conditional Mean Hypothesis Test and Its Application in the Diagnosis of Parkinson`s Disease. Journal of Applied Statistics and Management, 1-14, https://doi.org/10.13860/j.cnki.sltj.20201205-016 , (CSSCI, CSCD).  2020 33. Li, E. Q., Tian, M. Z. and Tang, M. L. (2020). Variable Selection in Competing Risks Models Based on Quantile Regression. Statistics in Medicine, 38 (23): 4670–4685, (SCI). 34. Qian, M. L., Tao, L., Li, E. Q. and Tian, M. Z. (2020). Hypothesis Testing for Identity of High-dimensional Covariance Matrices. Statistics and Probability Letters, 161,1–12, (SCI). 35. Bai, Y. X., Qian, M. L. and Tian, M. Z. (2020). Joint Mean-covariance Random Effect Model for Longitudinal Data. Biometrical Journal, 62, 7-23, (SCI). 36. Wu, Y. K., Hu, Y. N., Zhou, J. and Tian, M. Z. (2020). Simultaneous Estimation of Multiple Conditional Regression Quantiles, Acta Mathematicae Applicatae Sinica (English Series), 36 (2), 448–457, (SCI) 37. Tian, Y. Z., Wang, L. Y., Tang, M. L. and Tian, M. Z. (2020), Likelihood-based Quantile Mixed Effects Models for Longitudinal Data with Multiple Features via MCEM Algorithm, Communications in Statistics - Simulation and Computation, https://doi.org/10.1080/03610918.2018.1484477 , 49 (2), 317–334, (SCI, EI). 38. Xia, L. L. and Tian, M. Z. (2020). Penalty likelihood estimation for a class of constrained generalized additive model with zero-inflated count data. Statistics and Decision, 36 (2), 16 – 20, (CSSCI). 39. Dai, X. W., Yan, Z., Tian, M. Z. and Tang, M. L. (2020). Quantile Regression for General Spatial Panel Data Models with Fixed Effects. Journal of Applied Statistics, 47 (1), 45–60, (SCI). 40. Dai, X. W., Jin, L. B., Tian, Y. Z., Tian, M. Z. and Tang, M. L. (2020). Quantile Regression for Panel Data Models with Fixed Effects under Random Censoring. Communications in Statistics-Theory and Methods, 49 (18), 4430–4445, (SCI, EI). 41. Wu, Y. K., Tian, M. Z. and Tang, M. L. (2020). General Composite Quantile Regression: Theory and Methods. Communications in Statistics – Theory and Methods, 49 (9), 2217–2236, (SCI, EI). 42. Yang, L., Tao, L. and Tian, M. Z. (2020). Qunatile Regression Based on Multi-period DID Method and Its Applications. Statistics & Decision, 5, 25–28, (CSSCI). 43. Tai, L. N., Qian, M. L. and Tian, M. Z. (2020). Sample Selection Parametric Quantile Regression and Its Application in Distribution Decomposition of Wage, Statistical Research, 37(1), 62–73 (CSSCI). 44. Tai, L. N., Tao, L. and Tian, M. Z. (2020). Innovation Ideas of Government Statistics Work Based on Big Data Supply Chain. Statistics & Decision, 12, 156 –159, (CSSCI). 45. Liang, J. W. and Tian, M. Z. (2020). Outlier Diagnosis and Estimation via Volume Sampling in Big Data. Journal of Applied Statistics and Management, 39 (2), 223–235, (CSCD, CSSCI). 46. Tian, Y. Z., Wang, L. Y., Tang, M. L., Zang, Y. C. and Tian, M. Z. (2020), Likelihood-based Quantitle Autoregressive Distributed Lag Models and Its Applications. Journal of Applied Statistics, 47 (1), 117–131, (SCI). 47. Liang, J. W. and Tian, M. Z. (2020). Sufficient Dimension Reduction Method based on Maximin Effect for Heterogeneous Data. Journal of Systems Science and Mathematical Sciences, 40 (5), 902–916, (CSCD). 48. Tao, L., Tai, L. N. and Tian, M. Z. (2020). Quantile Regression for Panel Data with Fixed Effects and Comparative Research. Statistics and Decision, 17, 9–13, (CSSCI). 49. Mu, J. and Tian, M. Z. (2020). Bayesian Hierarchical Regression Model with Multivariate Laplace Distribution and Its Application. Journal of Applied Statistics and Management, 39 (3) : 438–448, (CSSCI, CSCD). 50. Yan, M. B. and Tian, M. Z. (2020). Variable Significance Test after Selection under Various Distributions and Its Application to CEPS Data. Journal of Systems Science and Mathematical Science, 40 (1): 141 – 155, (CSCD). 51. Wang, Z. H., Tian, M. Z. and Hou, Z. M. (2020). Measuring Quantile Effects Based on Partial Least Squares Path Model, Journal of Systems Science and Mathematical Science, 40 (4): 738–750, (CSCD). 52. Bai, Y. X., Yan, M. B., Tian, M. Z. and Zhai, H. W. (2020). Evaluating the Quality of Multidimensional Statistical Data Based on the Bootstrap Method. Statistics & Decision, 11, 5–9, (CSSCI). 53. Zhang, C. L. and Tian, M. Z. (2020). Construction of Bootstrap Confidence Intervals Based on Bayes. Statistics and Decision, 1, 32-35, (CSSCI). 54. Luo, Y. X., Zhang, M. and Tian, M. Z. (2020). The Research and Application of Additive Quantile Regression Models for Panel Data. Statistical Research, , 37 (2), 105–118, (CSSCI). 55. Hou, Z. M., Tian, M. Z., Wang, Z. H. and Dou, Y. (2020). Study on The Impact of Technological Innovation on the Urbanization and Urban-rural Income Inequality—An Empirical Analysis Based on Western National Agglomeration Area. Journal of Mathematics in Practice and Theory, 50 (2)，53–64, (CSSCI, CSCD). 56. Guo, J. X., Xu, H., Zhu, W. Q. and Tian, M. Z. (2020). Research on Tensor Sufficient Dimension Reduction Method and Its Application. Statistical Research, 37(10),104 – 114, (CSSCI). 57. Liu, Y. and Tian, M. Z. (2020). Pricing of "Take Photos and Make Money" APP Task Based on Logistic Regression Model, China Price, 8, 98 –101, (CSSCI) 58. Hu, Y. N., Wang, J. T. and Tian, M. Z. (2020). Foreign Trade, Technological Progress and Economic Growth: An Empirical Study Based on the Spatial Panel Simultaneous Equations. Journal of Applied Statistics and Management, 39(5), 771–787, (CSSCI, CSCD).  2019 59. Tian, M. Z. and Mei, B. (2019). Tilting Quantile Regression Modeling of Functional Data and Its Applications. Statistical Research, 36 (8), 114 –128, (CSSCI). 60. Tao, L., Zhang, Y. J., and Tian, M. Z. (2019). Quantile Regression for Dynamic Panel Data Using Hausman-Taylor Instrumental Variables, Computational Economics, 53:1033–1069 (SSCI, SCI). 61. Dai, X. W., Jin, L. B., Tian, M. Z. and Shi, L. (2019). Bayesian Local Influence for Spatial Autoregressive Models with Heteroscedasticity. Statistical Papers, 60:1423–1446, (SCI). 62. Tian, Y. Z., Shen, S. L., Lu, G., Tang, M. L. and Tian, M. Z. (2019), Bayesian LASSO- Relarized Quantile Regression for Linear Regression Models with Autoregressive Errors, Communications in Statistics-Simulation and Computation, 48 (3): 777 –796, (SCI, EI). 63. Zhu, F. Y., Yue, T. Z., Wang, K., Liu, X. and Tian, M. Z. (2019). Application of Text Clustering Technique on Conan Doyle`s Works. Journal of Applied Statistics and Management, 38 (5): 882 –898, (CSSCI, CSCD). 64. Hu, Y. N., Wang, C. Y. and Tian, M. Z. (2019). Variable Selection for Joint Modeling of Longitudinal Data and Survival Time. Journal of Applied Statistics and Management, 38(3), 483–494, (CSSCI, CSCD). 65. Hu, Y. N. and Tian, M. Z. (2019). Joint Modeling and Variable Selection for Zero-Inflated Count Data, Statistical Research, 36 (1): 104 –114, (CSSCI). 66. Wang, Y. R., Bai, Y. X. and Tian, M. Z. (2019). Tuning Parameter Selection Using ERIC Method in The Generalized Linear Model. Statistics & Information Forum, 34 (2), 19 – 27, (CSSCI). 67. Xia, L. L. and Tian, M. Z. (2019). Nonparametric Statistical Analysis of Zero-and-One Inflated Poisson Regression Models. Journal of Applied Statistics and Management, 38 (2), 235 – 246, (CSSCI, CSCD). 68. Xiong, W., and Tian, M.Z. (2019). Optimal Quantile and Its Applications in Reality. Applied Mathematics A Journal of Chinese Universities, 34 (1): 25– 43, (CSCD). 69. Xia, L. L., Tian, M. Z. and Zhu, Y. (2019). Construction of Confidence Intervals for the Whole Percentage Based on Saddle Point Approximations under Binomial Distribution. Statistics & Information Forum, 34(9): 3– 9, (CSSCI). 70. Cao, R. and Tian, M. Z. (2019). Mode Regression in the Secondary Analysis of Case-Control Data, Journal of Systems Science and Mathematical Sciences, 39(6): 954 – 976, (CSCD). 71. Yan, M. B. and Tian, M. Z. (2019). An Elastic Net Method Based on Variable Selection Events. Journal of Mathematics in Practice and Theory, 49 (12): 215– 226, (CSCD). 72. Mei, Y., Yan, M. B. and Tian, M. Z. (2019). The model of Customer Satisfaction and Its Application in the Study of the Relationship between College Student and Parentage, Journal of Mathematics in Practice and Theory, 49 (11): 78– 90, (CSSCI). 73. Tian, Y. Z., Wang, L.Y., Wu, X. Q. and Tian, M. Z. (2019). Gibbs Sampler Algorithm of Bayesian Weighted Composite Quantitle Regression. Chinese Journal of Applied Probability and Statistics. 35 (2), 178–192, (CSCD). 74. Wang, W. X. and Tian, M. Z. (2019). Confidence interval construction of correlation difference under saddle point approximation, Applied Mathematics A Journal of Chinese Universities, 34 (3): 264–272, (CSCD). 75. Tian, Y. Z., Tang, M. L., Wang, L. Y. and Tian, M. Z. (2019), Bayesian Bridge-randomized Penalized Quantitle Regression Estimation for Linear Regression Model with AP(q) Perturbation. Journal of Statistical Computation and Simulation, 89 (15):2951–2979, (SCI). 76. Xiong, W., and Tian, M. Z. (2019). Weighted Quantile Regression Theory and Its Application. Journal of Data Science,17(1). P. 145 - 160, (EI). 77. Zhang, R. X. and Tian, M. Z. (2019). Multivariate Outlier Detection Based on Tilting Minimum Covariance Determinant Method, Journal of Applied Statistics and Management, 38 (4): 619–627, (CSCD, CSSCI).  2018 78. Tian, M. Z. (2018). Exact Exponential Risk Bounds for Conditional Quantile Regression. China Sciencepaper, 13(5), 598–610. (CSCD, CA, AJ, CSA, etc.). 79. Li, E. Q., Mei, B. and Tian, M. Z. (2018). Feature Screening Based on Ultrahigh Dimensional Competing Risks Models, SCIENTIA SINICA Mathematica，Vol. 48(8): 1061–1086. 80. Tian, Y. Z., Tang, M. L., Zang, Y. C. and Tian, M. Z. (2018), Quantile regression for linear models with autoregressive errors using EM algorithm, Computational Statistics. 33:1605–1625, (SCI). 81. Tian, Y. Z.,Yang, A. J., Li, E. Q. and Tian, M. Z. (2018). Parameters Estimation for Mixed Generalized Exponential Inverted Distributions with Type-II Progressive Hybrid Censoring. Hacettepe University Bulletin of Natural Sciences and Engineering Series B: Mathematics and Statistics, 47 (4), 1023 –1039, (SCI). 82. Jiang, C. B., Wang, Z. and Tian, M. Z. (2018). Theory and Application of One-Side Kernel Estimation in Quantitative Financial Risk Management, Statistics Review, 10，100–121. 83. Bai, Y. X. and Tian, M. Z. (2018). Functional Analysis of Variance Based on Multiple Comparison Test, Statistics & Decision, 10, 62–56, (CSSCI). 84. Wang, C. Y. and Tian, M Z. (2018). The Iterative Generalized Least Squares Estimation for Multilevel Mixed Effects Model. Advances in Mathematics, 47(4)，613–623.. (CSCD, CBST). 85. Li, E. Q. and Tian, M. Z. (2018). Construction of Fixed-width Confidence Intervals for Zero- Inflated Poisson Distributions Parameters. Chinese Journal of Applied Probability and Statistics, 34 (1): 49–74, (CSCD). 86. Mei, B. and Tian, M. Z. (2018). Analysis of Influencing Factors on PM2.5 in Beijing Based on Spatio-Temporal Model, Journal of Applied Statistics and Management, 37 (4): 571–586, (CSSCI, CSCD). 87. Wang, W. X. and Tian, M. Z. (2018). Evaluation of Economic Development in the Northern Slope Economic Belt of Tianshan Mountains Based on Principal Component Analysis, Journal of Mathematics in Practice and Theory, 48 (17), 71–78, (CSSCI). 88. Li, E. Q., Wu, Y. K. and Tian, M. Z. (2018), Joint Modeling for Generalized Hyperbolic Distributions, Journal of Mathematics in Practice and Theory, 48 (13), 152–162, (CSSCI). 89. Tai, L. N., Wang, C. Y. and Tian, M. Z. (2018). Inverse Probability Multiple Weighted Quantile Regression Estimation and Its Application with Missing Data. Statistical Research, 35 (9), 115-128, (CSSCI). 90. Su, P. and Tian, M. Z. (2018). Heteroscedasticity Detection and Estimation with Minimizing The Composite Quantile Loss, Journal of Systems Science and Mathematical Sciences, 38(9):1055–1066, (CSCD). 91. Tian, Y. Z., Tang, M. L. and Tian, M. Z. (2018). Joint Modeling for Mixed-effects Quantile Regression of Longitudinal Data with Detection Limits and Covariates Measured with Error, with Application to AIDS Studies. Computational Statistics, 33:1563–1587, (SCI). 92. Song, J., Li, E. Q. and Tian, M. Z. (2018). Analysis of Core Inflation Rate in China Based on SVAR Models. Statistics and Application, 2018, 7(6), 636–648, (RCCSE). 93. Li, E. Q., Qian, M. L. and Tian, M. Z. (2018). Fixed-Length Confidence Intervals for the Poisson Mean via Sequential Methods and Two-stage Methods. Journal of Systems Science and Mathematical Sciences, 38 (11), 1328–1346, (CSCD).  2017 94. Tian, M. Z. and Chan, N. H. (2017). Adaptive Quantile Regression with Precise Risk Bounds, Science in China Series A: Mathematics, 60 (5), 875–896, (SCI, EI). 95. Li, Z. Y., and Tian, M. Z. (2017). A New Method for Dynamic Stock Clustering Based Spectral Analysis. Computational Economics, 50 (3), 373–392， (SSCI, SCI). 96. Ma, C. T., Xiong, W. and Tian, M. Z. (2017). ROC Curve Based on Generalized Linear Mixed Effects Models in Repeated Diagnostic Tests, Chinese Journal of Health Statistics, 34 (1), 1–6, (CSCD). 97. Ma, C. X. and Tian, M. Z. (2017). Financial Impact Analysis for Urban-rural Income Gap in China based on panel quantile Regression. Journal of Applied Statistics and Management. 36(2), 341–350, (CSSCI, CSCD). 98. Zhang, T. T., Hu, Y. N., Li, Y. and Tian, M. Z. (2017). Feature Selection Based on Sparse Clustering with Application of China`s Environmental Problems. Statistics & Decision, 4, 18 – 24, (CSSCI). 99. Li, Z. Y. and Tian, M. Z. (2017). Detecting Change-point via Saddlepoint Approximations, Journal of Systems Science and Information, 5 (1), 48–73, (CSCD). 100. Meng, L. B., Li, E. Q. and Tian, M. Z. (2017). Confidence Intervals Construction for Odds Ratio under Binomial Sampling Based on Saddlepoint Approximation, Journal of Applied Statistics and Management, 36 (1), 85–102, (CSSCI, CSCD). 101. Tian, Y. Z., Lian, H. and Tian, M. Z. (2017). Bayesian Composite Quantile Regression For Linear Mixed-effects Models. Communications in Statistics – Theory and Methods, 46 (15), 7717–7731, (SCI, EI). 102. Xiong, W., Tian, M. Z. and Tang, M. L. (2017). Randomized Quantile Regression Estimation for Heteroscedastic Nonparametric Model. Communications in Statistics – Theory and Methods, 46 (10), 5147–5179, (SCI, EI). 103. Xu, L.W. and Tian, M. Z. (2017). Parametric bootstrap inferences for panel data models. Communications in Statistics – Theory and Methods, 46 (11), 5579 –5594, (SCI, EI). 104. Luo, J. and Tian, M. Z. (2017). Analysis of Air Quality Index Based on Negative Binomial Regression Models. Statistics & Information Forum, 32(7) 88–94, (CSSCI). 105. Ma, C. X., Tian, M. Z. and Pan, J. X. (2017). Semiparametric Hierarchical Model with Heteroscedasticity. Statistics and Its Interface, 10, 413–424, (SCI) 106. Bai, Y. X. and Tian, M. Z. (2017). Confidence Interval Construction for the Risk Difference of Chronic Disease Based on Saddle- point Approximation under Poisson Distribution. Applied Mathematics A Journal of Chinese Universities, 32(3) : 253–266, (CSCD) 107. Tian, Y. Z., Li, E. Q., Tian, M. Z. and Luo, Y. X. (2017). Quantile Regression for Censored Mixed Effects Models and Variable Selection. Acta Mathematica Sinica. 60 (2), 315–334, (CSCD). 108. Bai, Y. and Tian, M. Z. (2018). Comparison and Application of Several High Dimensional Variable Selection Methods, Statistics & Decision, 22, 11–16, (CSSCI). 109. Ma, C. X., Qian, M. L. and Tian, M. Z. (2017). Nonlinear Modeling of Heteroscedastic Hierarchical Data via ECM Algorithm. Acta Mathematica Sinica. 60 (5), 731–744, (CSCD). 110. Tao, L., Zhang, Y. J. and Tian, M. Z. (2017). Adaptive Penalty Quantile Regression for Panel Data. Journal of Systems Science and Mathematical Sciences, 37 (2), 609–622, (CSCD). 111. Hu, Y. N., Zhang, T. T., Li, L. and Tian, M. Z. (2017). Sparse VAR and Its Application to Stock Return. Journal of Applied Statistics and Management, 36 (4), 731–739, (CSSCI, CSCD). 112. Hu, Y. N., Yang, Y. Y., Wang, C. Y. and Tian, M. Z. (2017). Imputation in Nonparametric Quantile Regression with Complex Data. Statistics and Probability Letters, 127, 120–130, (SCI). 113. Tian, Y. Z., Han, X. F. and Tian, M. Z. (2017). Estimating Mixed Exponential Distributions Based on Hybrid Censored Samples. Chinese Journal of Applied Probability and Statistics, 33 (2), 191–202, (CSCD). 114. Tian, Y. Z., Qiu, X. P. and Tian, M. Z. (2017). Parameters Inference of Generalized Exponential Distribution Based on Generalized Progressively Hybrid Censoring Scheme. Chinese Journal of Applied Probability and Statistics, 33 (4), 369 – 384, (CSCD, CSSCI). 115. Hu, M. Y., Lin, X. F. and Tian, M. Z. (2017). The Study of the L Environmental Simulation Laboratory Quality System Assessment Index. Journal of Mathematics in Practice and Theory, 47(10), 17– 34, (CSSCI). 116. Wang, T. Y., Yang, Y. Q. and Tian, M. Z. (2017). Tuning Parameter Selection in Adaptive LASSO for Quantile Regression with Penal Data. Journal of Applied Statistics and Management, 36 (3), 429– 440, (CSSCI, CSCD). 117. Liang, X. L., Li, E. Q. and Tian, M. Z. (2017). The Parametric Estimation and Diagnostics of the Multivariate Generalized Poisson Distribution, Journal of Systems Science and Mathematical Sciences, 37(5), 1319–1334, (CSCD). 118. Wang, X. H. and Tian, M. Z. (2017). Analysis of Haze Counts Using Hierarchical Bayesian Spatiotemporal Models. Journal of Applied Statistics and Management, 36 (6), 970 – 982, (CSSCI, CSCD). 119. Wu, Y. K. and Tian, M. Z. (2017). An Effective Method to Reduce the Computational Complexity of Composite Quantile Regression. Computational Statistics, 32，1375 –1393, (SCI). 120. Zhu, Q. Q., Hu, Y. N. and Tian, M. Z. (2017). Identifying Interaction Effects Via Additive Quantile Regression Models. Statistics and Its Interface, 10, 255 – 265, (SCI). 121. Rong, Y. H., Tang, M. L. and Tian, M. Z. (2017). Longitudinal Data Analysis Based on Generalized Linear Partially Varying-Coefficient Models . Communications in Statistics – Theory and Methods, 46 (4), 1983 –2001, (SCI, EI). 122. He, X. S. and Tian, M. Z. (2017). Parameter Estimation of Binomial-Gumbel Mixed Compound Extreme Value Distribution, Statistics & Decision, vol. 11, 17–19, (CSSCI). 123. Tao, L., Zhang, Y. J. and Tian, M. Z. (2017). Adaptive Penalty Quantile Regression for Dynamic Panel Data. Journal of Systems Science and Mathematical Sciences, 37 (11), 2245–2259, (CSCD). 124. Bai, Y. X. and Tian, M. Z. (2017). Confidence Interval Construction for Quantile Residual Lifetime under Left-truncated and Right-Censored Data. Journal of Systems Science and Mathematical Sciences, 37 (12), 2412–2426, (CSCD). 125. Luo, Y. X., Tian, M. Z. and Li, H. F. (2017). The Research of Dual Regularized Quantile Regression for High Dimensional Mixed Effect Models. Statistical Research, 34 (7), 94–103, (CSSCI).  2016 126. Tian, Y. Z., Li, E. Q., and Tian, M. Z. (2016). Bayesian Joint Quantile Regression for Mixed Effects Models with Censoring and Errors in Covariates. Computational Statistics, 31(3), 1031–1057, (SCI). 127. Yan, Z. and Tian, M. Z. (2016). MCEM Estimation of Censored Linear Quantile Regression. Journal of Systems Science and Mathematical Sciences, 36(2), 145–156, (CSCD). 128. Wang, S., Wu, Y., W. and Tian, M. Z. (2016). An Analysis of the Influencing Factors of Price Determinants in Online Auction Based On Truncated Regression Models. Statistics and Application, 2016, 5(1), 1–8. 129. Liang, X. L. and Tian, M. Z. (2016). Empirical Study of the Relationship Between Chinese Listing Corporation Total Assets and Operating Income. Journal of Mathematics in Practice and Theory, 46 (9), 22–30, (CSSCI). 130. Hu, Y. N., Zhang, T. T. and Tian, M. Z. (2016). Variable Selection in Joint Modeling for Binary Response and Continuous Response. Statistics & Decision, 19, 4 – 8, (CSSCI). 131. Li, H. F., Luo, Y. X. and Tian, M. Z. (2016). The Research of Nonparametric Bayesian Regression for Mixed Effect Models. Statistical Research, 33 (4): 97–103 , (CSSCI). 132. Fan, Y., Tang, M. L. and Tian, M. Z. (2016). Composite Quantile Regression for Varying- Coefficient Single-Index Models. Communications in Statistics - Theory and Methods, 45 (10): 3027–3047, (SCI, EI). 133. Yan, Z. and Tian, M. Z. (2016). Change-point Analysis of CPI Based on Pruned Exacted Linear Time Method. Modern Management Science, 3, 18–20, (CSSCI). 134. Xia, W. T., Xiong, W. and Tian, M. Z. (2016). Heteroscedasticity detection and estimation with quantile difference method. Journal of Systems Science and Complexity, 29: 511–530, (SCI, EI, CSCD). 135. Tian, Y. Z., Tang, M. L.and Tian, M. Z. (2016). A Class of Finite Mixtures of Quantile Regression with Its Applications. Journal of Applied Statistics. 43, No. 7, 1240–1252, (SCI) 136. Luo, Y. X., Li, H. F. and Tian, M. Z. (2016). The Research of Selecting Fixed and Random Effects Simultaneously Regression for Mixed Effect Models. Statistics and Decision. 15, 4 – 8, (CSSCI). 137. Wu, Y. K. and Tian, M. Z. (2016). An Analysis of Family SES Influence On Returns to Education Using UQR: Based On CGSS2010. Journal of Applied Statistics and Management . 35, No. 4, 692–699, (CSSCI, CSCD). 138. Yan, Z., Dai, X. W. and Tian, M. Z. (2016). Outliers Diagnosis in Big Data Levaraging Sampling. Journal of Applied Statistics and Management. 35, No.5, 794 – 802, (CSSCI, CSCD). 139. Huang, Y. L., Zhu, Q. Q. and Tian, M. Z. (2016). Nonparametric Quantile Regression with Censored Data. Journal of Biomathematics, 3, 387– 407, (CSCD). 140. Hu, Y. N., Zhang, T. T. and Tian, M. Z. (2016). A Spatial Quantile Regression Model for Local Fiscal Expenditure, Modern Management Science , 11, 18 – 20, (CSSCI). 141. Wang, J., Xiong, W. and Tian, M. Z. (2016). A Study on Allocation of Regional Education Resources of Beijing. Journal of Mathematics in Practice and Theory, 46(22), 65 – 72, (CSSCI). 142. Tian, Y. Z., Zhu, Q. Q. and Tian, M. Z. (2016). Estimation of Linear Composite Quantile Regression Using EM Algorithm. Statistics and Probability Letters. 117, issue C, 183 – 191, (SCI). 143. Qin, L., Xiong, W., and Tian, M. Z. (2016). Robust Modification of Leverage Importance Sampling for Big Data. Statistical Researach. 33 (8): 101 – 105, (CSSCI). 144. Mei, B. and Tian, M. Z. (2016). Bayesian Spatio-temporal Quantile Regression Model and Its Application for the Concentration of PM2.5 in Beijing, Statistical Research, 33 (12): 91-99 , (CSSCI). 145. Hu, Y. N., Zhang, T. T. and Tian, M. Z. (2016). Conditionally Parametric Quantile Regression Applied for Investment in Fixed Assets of National County Region. China Price, 10, 79 –81, (CSSCI) 146. Yang, C. L., Shuai, Y. X., Hu, X., Yang, R. and Tian, M. Z. (2016). Influence of Faculty Attitude on Wikipedia: Exploratory and Confirmatory Factor Analysis. Library Development, accept, 6–11, (CSSCI). 147. Luo, Y. X., Li, H. F., Tian, M. Z. and Zheng, L. (2016). Theoretical and empirical study on panel data models based on double penalized quantile regression. Journal of Wuhan University of Science and Technology. Vol.39, No.6, 462–467,（CSCD, EI）. 148. Bai, Y. X. and Tian, M. Z. (2016). Confidence Interval Construction for The Incidence of Chronic Diseases. Applied Mathematics A Journal of Chinese Universities, 31(2): 136–142, (CSCD). 149. Dai, X. W., Yan, Z. and Tian, M. Z. (2016). Estimation of Quantile Regression for the Panel Data Spatial Autoregressive Error Models With Fixed Effects. Acta Mathematicae Applicatae Sinica, 39(6), 847–858, (CSCD). 150. Xu, L.W. and Tian, M. Z. (2016). Tests for ANOVA models with a combination of crossed and nested designs under heteroscedasticity. Citation: AIP Conference Proceedings, Published by the American Institute of Physics, View online: http://dx.doi.org/10.1063/1.4952212, View Table of Contents: http://aip.scitation.org/toc/apc/1738/1, (CPCI-S, ISTP).  2015 151. Tian, M. Z. (2015). Several Hot Topics in Current Research of Statistical Theory of Big Data. Statistical Research, vol. 32 (5): 3–12, (CSSCI). 152. Zhao, Y. Y., Tian, M. Z., Wu, Y. K., Yan, Z, Dai, X. W., Hu, Y. N. and Li, E. Q. (2015). Reconstruction and Innovation of Statistics in the ERA of Big Data, Statistical Research, 32 (2): 3–9, (CSSCI). 153. Xiong, W. and Tian, M. Z. (2015). Simultaneous Variable Selection And Parametric Estimation for Quantile Regression. Journal of the Korean Statistical Society, 44, 134 –149, (SCI). 154. Cao, S. R., Su, Y. N. and Tian, M. Z. (2015). Bayesian Inference and Applications in Hierarchical Models. Statistics & Decision, 423(3), 4–8, (CSSCI). 155. Si, S. J., Li, E.Q and Tian, M. Z. (2015). Semi-parametric Model with Bivariate Link Function. Chinese Journal of Contemporary Mathematics, 36, 173–190, (CSCD). 156. Wang, Z. and Tian, M. Z. (2015). Semiparametric Mode Regression Based on Locally Linear Additive Models. Statistical Review, Vol. 9, 124 –142. 157. Feng, D. D., Ma, C. X. and Tian, M. Z. (2015). Statistical Estimation of Multiple Poisson Rate. Journal of Probability and Statistical Science, 13(1), 53 – 68, (SCI). 158. Si, S. J., Li, E.Q and Tian, M. Z. (2015). Semi-parametric Model with Bivariate Link Function. Chinese Annals of Mathematics, 36A(2):191 – 208 ，(CSCD, CSSCI). 159. Wu, Y. K. and Tian, M. Z. (2015). Estimation of Spatial Quantile Autoregressive Model via EM Algorithm, Journal of Mathematics in Practice and Theory, 45 (11), 193–199, (CSSCI). 160. Tian, Y. Z., Zhu, Q. Q. and Tian, M. Z. (2015). Estimation for Mixed Exponential Distributions under Type-II Progressively Hybrid Censored Samples, Computational Statistics & Data Analysis, 89, 85–96, (SCI, EI). 161. Zhou, J., Fu, Z. N. and Tian, Y. Z. (2015). China transportation services index construction based on TSI index, Systems Engineering — Theory & Practice, 35 (4), 965–972, (CSCD, EI, CSSCI). 162. Meng, L. B. and Tian, M. Z. (2015). Saddlepoint Approximation to An Important Statistic Advances in Mathematics. 44 (5): 789–799 . (CSCD, CBST). 163. Chen, Y. L., Tang, M. L. and Tian, M. Z. (2015). Semiparametric Hierarchical Composite Quantile Regression. Communications in Statistics – Theory and Methods, 44 (5), 996 –1012, (SCI, EI). 164. Luo, J., Wang, X. H. and Tian, M. Z. (2015). Empirical Study of the Relationship Between Risk and Return of Chinese Stock Market Based on Quantile Regression. Statistics & Decision, 423, 121– 124, (CSSCI). 165. He, J., Xiong, W. and Tian, M. Z. (2015). Non-crossing Additive Qantile Curves and Its Applications to Housing Price. Journal of Applied Statistics and Management. 34 (4), 707–718, (In Chinese) , (CSSCI, CSCD). 166. Wu, Y. K. and Tian, M. Z. (2015). Improved Confidence Interval for the Risk Ratio under Inverse sampling. Journal of Systems Science and Mathematical Sciences. 35(10), 1168–1177， (CSCD). 167. Yan, Z. and Tian, M. Z. (2015). An Analysis of Effects of Automobile Exhaust on PM2.5 in Beijing Based on Quantile Regression. Statistics & Decision. 17, 103–105, (CSSCI). 168. Zhang, Y. J. and Tian, M. Z. (2015). A Qunatile Regession Approach for Estimating Panel Data Based on K-step Inferences, Journal of Systems Science and Mathematical Sciences 35(9), 1037– 1048, (CSCD)  2014 169. Xiong, W. and Tian, M. Z. (2014). Application of Quantile Regression Techniques in Linear Heteroscedastic Model. Statistics Review，8, 115–128, (CSSCI). 170. Xiong, W. and Tian, M. Z. (2014). A New Model Selection Procedure Based on Dynamic Quantile Regression. Journal of Applied Statistics, 41(10), 2240– 2256. (SCI). 171. Xiong, W. and Tian, M. Z. (2014). A Novel Robust and Efficient Tool for Detecting Heteroscedasticity. Journal of Mathematics and Statistics, 10: 169–185. 172. Li, Z. Y., Su, Y. N. and Tian, M. Z. (2014). Analysis on Influencing Factors of National Images Based on Quantile Regression. Statistical Research. 31(8), 59–65, (CSSCI). 173. Li, Z. Y., Liu, S. B. and Tian, M. Z. (2014). Collective Behavior of Equity Returns and Market Volatility, Journal of Data Science, 12，545-562， (EI) 174. Chen, Y. L., Tian, M. Z. and Yu, K. and Pan, J. X. (2014). Composite hierarchical linear quantile regression. Acta Mathematicae Applicatae Sinica, English Serie, Vol. 30, 49–64, (SCI). 175. Liu, S. Q., Hu, Y. N. and Tian, M. Z. (2014). Longitudinal Data Analysis Based on Local Linear Quantile Regression. Statistics Review, 8, 149–162. 176. Yang, Y. Q. and Tian, M. Z. (2014). Noncrossing Quantile Regression Modelling for Regional Education Development Data in China. Statistical and Application. 3, 37–43. 177. Li, Z. Y., Liu, S. B. and Tian, M. Z. (2014). Momentum Effect Differs Across Stock Performances: Chinese Evidence. Acta Mathematicae Applicatae Sinica, English Series 30，278–288, (SCI). 178. Xiong, W. and Tian, M. Z. (2014). Robust Estimators of Scale Function. Journal of Systems Science and Mathematical Sciences. 34, 703–717， (CSCD). 179. Li, Z. Q, Tian, M. Z. and Luo, Y.X. (2014). Study on Adaptive Lasso Quantile Regression for Panel Data Models. Statistics & Information Forum, 29, 3–10, (CSSCI, RCCSE). 180. Tian, Y. Z., Tian, M. Z. and Zhu, Q. Q. (2014). Transmuted linear exponential distribution : a new generalization of the linear exponential distribution, Communications in Statistics - Simulation and Computation. 43, 2661–2677, (SSCI, SCI, EI). 181. Tian, Y. Z., Zhu, Q. Q. and Tian, M. Z. (2014). Inference for Mixed Generalized Exponential Distribution under Progressively Type-II Censored Samples. Journal of Applied Statistics. 41(3), 660–676 (SCI). 182. Qian, Z. C., Zhang, C. Y., Meng, L. B. and Tian, M. Z. (2014). Confidence Intervals Construction for Epidemilogic Ralative Risk Under Binomial Sampling Based on Saddlepoint Approximation. Journal of Mathematics in Practice and Theory. 44, 204– 217. 183. Tian, Y. Z., Tian, M. Z. and Zhu, Q. Q. (2014). Linear Quantile Regression Based on EM Algorithm, Communications in Statistics – Theory and Methods, 43: 3464–3484， (SCI, EI). 184. Tian, Y. Z., Tian, M. Z. and Zhu, Q. Q. (2014). Estimating a Finite Mixed Exponential Distribution Based on Progressively Type-II Censored Data, Communications in Statistics – Theory and Methods ，43: 3762–3776, (SCI, EI). 185. Tian, Y. Z. , Tian, M. Z. and Zhu, Q. Q. (2014). A new Generalized Linear Exponential Distribution and Its Applications, Acta Mathematicae Applicatae Sinica, English Serie , 30 (4)，1049 –1062 , (SCI). 186. Hu, Y. N., Zhu, Q. Q. and Tian, M. Z. (2-13). An Effective Technique of Multiple Imputation in Nonparametric Quantile Regression. Journal of Mathematics and Statistics. 10 (1): 30–44, 2014. 187. Fan, J. Y. Tang, M. L. and Tian, M. Z. (2014). Kernel Quantile Estimator with ICI Adaptive Bandwidth Selection Technique, Acta Mathematica Sinica, 30, 710–722. (SCI)  2013 188. Chen, Y. L. and Tian, M. Z. (2013). Comparative Study of Methods on Longitudinal Data Analysis. Statistics & Decision, 10， 23–26, (CSSCI). 189. Tian, Y. Z., Su, Y. N. and Tian, M. Z. (2013). Optimal Estimation of EXPAR model. Statistics Review.7，148–156. (CSSCI). 190. Li, H. F. and Luo, Y. X., Tian, M. Z. (2013). Bayesian Lasso Quantile Regression for Panel Data Models. The Journal of Quantitative & Technical Economics, 30 (2), 138-149. (CSSCI). 191. Guo, J., Tang, M. L., Tian, M. Z. and Zhu, K. (2013). Variable selection in high- dimensional partially linear additive models for composite quantile regression . Computational Statistics and Data Analysis. 65, 56–67. (SCI, EI). 192. Su, Y. N. and Tian, M. Z. (2013). Rolling Quantile Regression Model and Applications. Statistics Review. 7，124–135.  2012 193. Tian, M. Z. (2012). Robust Estimation in Inverse Problems via Quantile Coupling. Science in China Series A: Mathematics, 55 , 1029–1041. (SCI, EI, CCS, INSPEC, MR, Aerospace Database, MathSciNet, CA， etc.). 194. Tian, M. Z., Luo, Y. X., Su, Y. N., Fan, Y. and Han, J. L. (2012). Lack-of-Fit Tests Based on Weighted Ratio of Residuals and Variances. Journal of Systems Science and Complexity 25, 1202–1214. (SCI，EI). 195. Tian, Y. Z., Tian, M. Z. and Chen, P. (2012). Parameter Estimation for a Mixture of Generalized Exponential Distributions under Grouped and Right-Censored Samples, Chinese Journal of Applied Probability and Statistics, 28(6), 561–571. (CSCD), (CSSCI). 196. Tian, Y. Z. , Tian, M. Z. and Ran, Y. P. (2012). Parameters Estimation of Mixed Inverse Weibull Distributions Based on Grouped And Right-Censored Data. Statistics Review. 6, 82–90. (CSSCI). 197. Tian, Y. Z., Tian, M. Z. and Chen, P. (2012). Parameter Estimation of Mixed Exponential Distribution with Grouped and Right-Censored Data. Journal of Applied Statistics and Management, 31 (6), 981-989. (CSCD, CAJCED, CEPS, CJFD, CSSCI). 198. Tian, Y. Z., Tian, M. Z. and Chen, P. (2012). Parameters Estimation and Application of Generalized Exponential Distribution under Grouped and Right-Censored Data. Advances in Mathematics, 41(6), 755-762. (CSSCI). 199. Luo, Y. X., Lian H. and Tian, M. Z. (2012). Bayesian Quantile Regression for Longitudinal Data Model. Journal of Statistical Computation and Simulation, 82, 1635–1649, (SCI, SSCI). 200. Luo, Y. X., Tian, M. Z. and Li, H. F. (2012). A Note on Random Effects Growth Curve Models. Chinese Journal of Applied Probability and Statistics, 28(5), 520–534, (CSCD, CSSCI). 201. Zhang, Y. Y., Tang, M. L. and Tian, M. Z., (2012). Adaptive Quantile Regression Based on Varying-coefficient Models. Chinese Journal of Contemporary Mathematics, 33, 317–334. (CSSCI). 202. Guo, J., Tian, M. Z. and Zhu, K. (2012). New efficient and robust estimation in varying- coefficient models with heteroscedasticity. Statistica Sinica, 22, 1075–1101，(SCI, SSCI) 203. Shu, H., Feng, D. D. and Tian, M. Z. (2012). Improved Confidence Interval for The Number Needed to Treat Under Negative Binomial Sampling. Journal of Systematic Science and Mathematics, 32，1047-1056， (CSSCI). 204. Zhang, Y. Y., Tang, M. L. and Tian, M. Z., (2012). Adaptive Quantile Regression Based on Varying-coefficient Models. Chinese Annals of Mathematics, 33A(5): 539–556, (CSCD, CSSCI) 205. Tian, M. Z., (2012) . The Sentiment of Teaching Methodology in One`s Lecturing Life . University Teaching Quality Quarterly, 3: 44–46.  2011 206. Luo, Y. X., Li, H. F. and Tian, M. Z. (2011). Quantile Regression for Panel Data Based on Gibbs Sampling Algorithm. Statistical Research. 28, (7): 98–103, (CSSCI). 207. Tian, M. Z. et al. (2011) Abstract of the International Statistics Forum of 2010. Statistics & Information Forum. 26, 60–111. 208. Su, Y. N. and Tian, M. Z. (2011). Adaptive Local Linear Quantile Regression, Acta Mathematicae Applicatae Sinica (English Series). 27, 509–516, (SCI) . 209. Zhou, P. P. and Tian, M. Z. (2011). Multiple-day VaR calculating rules in financial risk management. The 8th International Conference on Service Systems and Service Management (ICSSSM`11） June 25–27, 2011 Tianjin, China . (EI). 210. Li, Z. Y., Liu, S. B and Tian, M. Z. (2011). Macro-stress testing of credit risk for Chinese banking sector: two comparative approaches. The 8th International Conference on Service Systems and Service Management (ICSSSM`11), June 25–27, 2011 Tianjin, China. (EI)  2010 211. Tian, M. Z., Chan, N. H. (2010). Saddle Point Approximation and Volatility Estimation of Value-at-Risk, Statistica Sinica, 20, 1239—1256, (SCI, SSCI) 212. Luo, Y. X. and Tian, M. Z. (2010). Quantile regression for panel data and its simulation study. Statistical Research. 27, (10): 81–87, (CSSCI). 213. Luo, Y. X. , Tian, M.Z. and Zhang, J.Y.(2010), An adaptive wavelet de-noising method based on quantile coupling, The 2nd International Conference on Image Analysis and Signal Processing, Xiamen, 109–112. (SCI/SSCI/A&HCI) 214. Zhao, Y. Y., Li, J. P. and Tian, M. Z. (2010). Stride toward the frontiers of the international statistical research, promote the reform and development of statistics–4th International Forum on Statistics, Renmin University of China and 5th International Symposium on Frontier of Statistical Science, Statistical Research. 27, (10): 88–112, (CSSCI). 215. Dai, C., Chen, B.Y. and Tian, M.Z. (2010). Bayesian Inference for the Probability of Contagious Negative Binomial distribution. Statistics & Decision, 6, 7–9, (CSSCI). 216. Chen, D. Q. and Tian, M. Z. (2010). A Comparison of Several Different Approaches in Sliced Inverse Regression. 4, 8–10, Statistics & Decision, (CSSCI). 217. Tang, M. L. and Tian, M. Z. (2010), Approximate confidence interval construction for risk difference under inverse sampling. Statistics and Computing. 20，87–98 (SCI, EI). 218. Luo, Y. X. and Tian, M. Z. (2010). Quantile regression for panel data and its simulation study. Statistics and Actuarial Science. 1, 3–10, (CSSCI).  2009 219. Tian, M. Z., Tang, M. L., Ng, H. K. T. and Chan, P. S. (2009), A comparative study of confidence intervals for negative binomial proportion. Journal of Statistical Computation and Simulation. 79, 241–249 (SCI, SSCI) 220. Tang, M. L. and Tian, M. Z. (2009), Asymptotic interval estimation of risk difference under inverse sampling Computational Statistics and Data Analysis，53, 621–631. (SCI) 221. Fan, J. Y. and Tian, M. Z. (2009), A new index of goodness-of-fit tests for hierarchical linear models, Statistics & Decision，21，16–19, (CSSCI). 222. Tian, M. Z., Tang, M. L., and Chan, P. S. (2009), Semiparametric quantile modelling of hierarchical data. Acta Mathematica Sinica , 25, 597–616 , (SCI)  2008 223. Tang, M. L., Tian, M. Z.and Chan, P. S. (2008), On the bootstrap quantile-treatment-effect test. Journal of Applied Statistics. Vol. 35 (1), 335–350. (SCI). 224. Tian, M. Z., Tang, M. L., Ng, H. K. T. and Chan, P. S. (2008), Confidence interval estimators for risk ratio under inverse sampling. Statistics in Medicine. 27: 3301–3324, (SCI). 225. Wu. X. and Tian, M. Z., (2008), A longitudinal study of the effects of family background factors on mathematics achievements using quantile regression. Acta Mathematicae Applicatae Sinica (English Series). 24(1), 85–98. (SCI) 226. Zhong, Y. and Tian, M. Z. (2008) Bayesian analysis of change-point problems in rare events. Statistics & Decision. Vol. 3, 38–43. (In Chinese), (CSSCI). 227. Luo, Y. B., Tian, M. Z.and Wu, X. Z., (2008) Saddlepoint approximations to generalized chi-squared mixed distributions. Statistics & Information Forum, Vol. 1, 29–31. (In Chinese), (CSSCI). 228. Tian, M. Z., Wu, X., Li, Y. and Zhou, P. (2008), Longitudinal study of the external pressure effects on children`s mathematics and science achievements using nonparametric quantile regression. Chinese Journal of Applied Probability and Statistics. 24, 327–336. , (CSSCI). 229. Tian, M. Z., Wu, X., Li, Y., and Zhou, P. (2008), Approximate and asymptotic confidence intervals for epidemiologic rate under inverse sampling. Journal of System Science and Mathematical Science. 28, 513–523, (CSSCI). 230. Tian, M. Z., Wu, X. Li, Y. and Zhou, P. (2008), An analysis of mathematics and sciences achievements of American youth with nonparametric quantile regression. Journal of Data Science, 6, 449–465, (CSSCI).  2007 (Omitted)  2006 231. Tian, M. Z. and Chen, G. M. (2006), Quantile-hierarchical models. Science in China Series A: Mathematics, 36(10), 1103–1118. (In Chinese), (CSSCI). 232. Tian, M. Z. (2006), A quantile regression analysis of family background factor effects on mathematical achievements, Journal of Data Science, 4, 461–478, (EI). 233. Tian, M. Z. and Chen, G. M. (2006), Hierarchical linear regression models for conditional quantiles. Science in China Series A: Mathematics, 49, 1800–1815. (SCI, EI) 234. Tian, M. Z. (2006), Two stages inferences for a semi-parametric regression model. Acta Mathematicate Applicate Sinica, 29， 601–608, (CSSCI).  2005 235. Tian, M. Z. (2005), Extreme distribution of the weighted sum of a class of $m$ dependent stochastic variable sequences. Math. Theory Appl. 25, 5–9, (CSSCI). 236. Tian, M. Z. (2005), Estimation theory based on quasi-residuals in sliced inverse regression, Journal of Systems Science and Mathematical Sciences, 25, 348–355, (CSSCI).  2004 237. Tian, M. Z. and Li, G. Y. (2004), Quasi-residuals method in sliced inverse regression, Statistics and Probability Letters, 66, 205–211. (SCI)  2003 238. Tian, M. Z. and He, C. Z. (2003), A generalized variance-ratio test for a Heteroskedastic regression, Mathematics in Economics, 20, 52–61, (CSSCI, CSCD).  2002 239. Tian, M. Z. and Wu, X. Z. (2002), On an extended quasi-likelihood estimation and a diagnostic test for heteroscedasticity in the generalized linear models. Mathematical Theory and Applications, 22, 5–14, (CSSCI).  2001 240. Tian, M. Z. and Wu, X. Z. (2001), A quasi-residuals method, Advances in mathematics, 30, 182–184, (CSSCI, SCI). 241. Tian, M. Z. and He, C. Z. (2001), Quasi-residual diagnostic theory and methodology for heteroscedastic model, Natur. Sci. J. Xiangtan Univ. 23, 1–8.  2000 242. Tian, M. Z. (2000), The limiting property of error variance in a semi-parametric errors-in- variances model, Journal of Hunan University, 27, 4–9. Papers under review 243. Zhou, P. P., Li, J. and Tian, M. Z. (2012). Empirical studies of the dynamic effects of China`s price level based on SVECM, Statistical Research. (under review), (CSSCI). 244. Si, S. J., Pan, J. X. and Tian, M. Z. (2012). Robust Estimation for Joint Mean-Variance Models. (under review) 245. Tian, M. Z., Zhang, H. P. (2012). Parametric Modeling for Complex Large-scale Genetic Data Sets with Multiple Ordinal Traits, (Submitted), (SCI). 246. Tian, M. Z. (2012). Locally Adaptive Quantile Regression And Its Applications, Journal of the American Statistical Association. (No. JASA-T10-045 ), Under revision. (SCI) 247. Han, J. L., Pan, J. X. and Tian, M. Z. (2012). Parameters estimation in nonlinear reproductive dispersion mixed models. (Under revision：No. 10109). 248. Tian, M. and Haerdle, W. (2012). Locally varying bandwidth selection for conditional quantile regression. (Under review). 249. Tian, M. Z. and Chen, G. (2010). A limit distribution for the maximum of weighted sums of m-dependent random variables. (Under review). 250. Feng, D. D. and Tian, M. Z. (2013). Nonparametric quantile regression with censored data. (Under review) 251. Li, Q. and Tian, M. Z. (2013). Locally smoothing composite quantile regression based on semiparametric models. (Under review) 252. Lv, S and Tian, M. Z. (2013). Generalized varying coefficient mean covariance regression methods for longitudinal data. (Under review) 253. Chen, Z. Q., Tang, M. L. and Tian, M. Z. (2013). Efficient weighted composite quantile regression with ignorable missing values and the oracle model selection theory. (Under review) 254. Tian, Y. Z. and Tian, M. Z. (2013). Censored Quantile Regression for Longitudinal Mixed Effects Models and Variable Selection. Statistical Sinica, (No. SS-13-293) 255. Xiong, W., Tian, M.Z. and Tang, M. L. (2012). Dynamic quantile regression estimation for heteroscedastic nonparametric models, Annals of Statistics, (No. AOS1304-012), (SCI) 256. Xiong, W. and Tian, M.Z. (2014). Reweighted efficient estimation in varying coefficient models (SCI) 257. Tian, Y. Z. and Tian, M. Z. (2014). Censored quantile regression of mixed effects models with measurement error in covariates, Scandinavian Journal of Statistics. (SCI) 258. Tian, Y. Z. and Tian, M. Z. (2014). Estimating Mixed Exponential Distributions under Hybrid Censoring , Scandinavian Journal of Statistics. (SCI) 259. Li, E. Q. and Tian, M. Z. (2014). Hierarchical Spline Models for Conditional Quantiles and the Air Quality Index of Beijing. (CSSCI). 260. Liang, X. L. and Tian, M. Z. (2014). The Estimation of Epidemiological Rate under Inverse Sampling Estimation Based on Hierarchical Models, under review, (CSSCI). 261. Yuan, M. and Tian, M. Z. (2014). Yuan, M. and Tian, M. Z. (2014). Quantile Regression Analysis of Monetary Policy Effect on Inflation, under review, (CSSCI). 262. Shi, P. X. and Tian, M. Z. (2014). Empirical Analysis of Chinese Urban and Rural Residents`Deposit Influential Factors Based on Quantile Regression, under review, (CSSCI). 263. Xiong, W. and Tian, M. Z. (2014). A New Robust Regression Method Based on Sparsity Function, under review, (SCI). 264. Li, E.Q. and Tian, M. Z. (2014), Hierarchical Spline Models for Conditional Quantiles and The Air Quality Index of Beijing, under review, (SCI). 265. Yang, Y. Q. and Tian, M. Z. (2014), Quantile Regression Based on Single Index Models for Longitudinal Data, under review, (CSSCI). 266. Ma, C. T and Tian, M. Z. (2014), Nonlinear Mixed Effects Model of ROC and Its Medical Applications, under Review, (CSSCI). 267. Tian, M. Z., Tang, M. L., and Chan, P. S. (2010). Saddlepoint approximations to conditional probability integral in metal analysis. (Under review). 268. Tian, M. Z. (2010). A limit distribution for the generalized Erdös-Kac Statistic. (Under review) 269. Meng, L. B. and Tian, M. Z. (2015). Semi-parametric Nonlinear Mixed Effects Models Based on Saddlepoint Approximation, (SCI). 270. Tian, M. Z. (2015). Several Hot Topics In Current Research of Statstical Theory of Big Data Statistical Research, 2014–1617 , (CSSCI). 271. Wu, Y. K. and Tian, M. Z. (2016). A Novel Competitive Approach for Intervals of The Difference Between Independent Binomial Proportions, Computational Statistics, COST-D-18-00217, under review, (SCI) 272. Tian, Y. Z., Han, X. F. and Tian, M. Z. (2015). Estimating Mixed Exponential Distributions under Hybrid Censoring , Statistical Methodology . (SCI) 273. Mei, Y., Li, E. Q. and Tian, M. Z. (2015). A Study of the Internet-based Community Management Based on Factor Analysis and Quantile Regression. Statistics and Decision. Under review, (CSSCI). 274. Cao, Z. Z., Yan, Z. and Tian, M. Z. (2015). An Analysis of Factors Influencing the Price of Real Estate in Beijing Based on Regression Tree. Under review, (CSSCI). 275. Yuan, M. and Tian, M. Z. (2015). State Space Mixed Model for Negative Binomial Responses. Under review, (CSSCI). 276. Shi, P. X. and Tian, M. Z. (2015). Bayesian Inference for Dynamic Zero-inflated Poisson Model. Under review, (CSSCI). 277. Meng, L. B. and Tian, M. Z. (2015). Confidence Intervals Construction for Odds Ratio under Binomial Sampling Based on Saddlepoint Approximation. Under review, (CSSCI). 278. Yang, Y. Q., Yan, Z.,Tian, M. Z. and Pan, J. X. (2019). Variable Selection in Joint Modeling for Longitudinal Multiple Outcomes. SCIENCE CHINA Mathematics, SCM-2020-0104, (SCI). 279. Zhang, Y. L. and Tian, M. Z. (2016). Parameter Estimation of Zero-Inflated Poisson Model Based on Probit Regression. Statistical Review. 280. Hu, Y. N. and Tian, M. Z. (2016). Modeling for Zero-Inflated Data via EM Adaptive Elastic Net. Journal of Statistical Computation and Simulation, GSCS-2016-0735, (SCI). 281. Zhang, Y. J., Li, L. and Tian, M. Z. (2015). Research On ELES Model Based On The Theory of Habit Formation and Dynamic Panel Quantile Regression, Chinese Annals of Mathematics, Series A. (CSSCI) 282. Yan, Z., Dai, X. W. and Tian, M. Z. (2015). A New Effective Sampling Algorithm Based on M-distance for Big Data. Statistical Papers, No. STPA-D-16-00396, (SCI). 283. Luo, Y. X., Li, H. F. and Tian, M. Z. (2015). The Research of Bayesian Double Penalized Quantile Regression for Mixed Effects Models and Its Simulation Studies. Journal of Mathematics in Practice and Theory. 284. Tian, Y. Z., Luo, Y. X. and Tian, M. Z. (2015). Censored Quantile Regression for Longitudinal Mixed Effects Models and Variable Selection. Acta Mathematica Sinica, English Series，B20150507, (SCI). 285. Tang, M. L., Tian, M. Z. and Tian, Y. Z., (2016). Mixed-effects Quantile Regression Model for Longitudinal Data with Detection Limits and Covariates Measured with Error, with Application to AIDS Studies. Statistics and Computing, ID: STCO-D-16-00142, (SCI). 286. Dai, X. W., Li, S. Y. and Tian, M. Z. (2019). Quantile Regression for Partially Linear Varying Coefficient Spatial Autoregressive Models. Journal of Applied Statistics, No. CJAS- 2019-0650，(SSCI). 287. Gu, M. C. and Tian, M. Z. (2016). Periodic Spatial-Temporal Quantile Model with Varying Coefficients, Computational Statistics, No. COST-D-17-00325, (SCI). 288. Yuan, B. and Tian, M. Z. (2016). Mixed Copula Based on Empirical Distribution and Its Applications to Financial Risk Management , Statistical Research, (CSSCI). 289. Qian, M. L. and Tian, M. Z. (2016). Analysis on Influencing Factors of PM2.5 in Beijing Based on Quantile Regression, Forcasting, (CSSCI). 290. Wang, S. and Tian, M. Z. (2016). A Non-linear Hierarchical Growth Curve Model for Forecasting the Outstanding Claims Reserves, Economic Management Journal，(CSSCI). 291. Zhang, W. S. and Tian, M. Z. (2016). Statistical Analysis of the Survival Rule of Electrical Vehicles, Statistics & Information Forum, , (CSSCI, RCCSE). 292. Luo, Y. X., Li, H. F. and Tian, M. Z. (2016). The Theoretical and Empirical Study of Panel Data Models Based on Double Penalized Quantile Regression. Technology Economics. 293. Yan, Z. and Tian, M. Z. (2016). A Novel Testing Tool for Heteroscedasticity Using Double Kernel Approach. Test, SEIO-D-16-00138, (SCI). 294. Ao, Y. H., Zhang, H. L., Zhang, Z., Yan, X., Shen, G. J., Liang, Q. J. and Tian, M. Z. (2016). The Analysis of Value Investment Based on Discriminant Approach. The Theory and Practice of Finance and Economics, (CSSCI) 295. Li, P. S., Zhan, T. H., Huang, X., Zhao, H. Z., Liu, Y. Z. and Tian, M. Z. (2016). Analysis on the Characteristics of Poverty Counties in Henan Province Based on Multidimensional Scaling. Henan Social Sciences, (CSSCI). 296. Li, X., Zhao, S. Y., Zhang, X. Y., Liang, Y., Yang, Z. H., and Tian, M. Z. (2016). Relationship between Regional Development and Sex Discrimination Based on Canonical Correlation Analysis. Population and Development, (CSSCI) 297. Wang, J. Q., Zhang, W. L., Wang, Y., Yi, M. Z. and Tian, M. Z. (2016). Research on Consumer Behavior Based on the Joint Analysis Method-An Example of the Purchase Preference of Ice Cream. Advances in Psychological Science, (CSCD, CSSCI) 298. Li, C. X., Han, Z. K, Shi, B. H., Song, Y. and Tian, M. Z. (2016). Empirical Analysis of Stock Market Forecast Based on Support Vector Machine. Modern Management Science, (CSSCI). 299. Sun, W. B., Wang, L. and Tian, M. Z. (2016). The Determinants of Resident Income Based on Classification Trees. Economic Review, (CSSCI). 300. Sun, Q. H., Wang, Y. L., Zhou, Z. Y., Li, Z. F., Zhou, Z. F. and Tian, M. Z. (2016). An Empirical Study on the Economic Differences between the Provinces in China Based on the Principal Component Analysis. Statistical Research, (CSSCI). 301. Zou, W. C., Zheng, Q., Qiao, Y. F., Wu, J. P., Huang, W. H. and Tian, M. Z. (2016). An Empirical Study on the Economic Differences between the Provinces in China Based on the Principal Component Analysis. Journal of Industrial Engineering and Engineering Management, (CSSCI). 302. Mei, B. and Tian, M. Z. (2016). Tilting Quantiles for Functional Data Based on Sparse Smoothing, Biometrika, No. BIOMTRKA-16-478, (SCI). 303. Mei, B. and Tian, M. Z. (2016). Linear Tilting Quantile Regression for Functional Data Using Sparse Smoothing. Journal of the Royal Statistical Society –Series B, (ID: JRSS-OA-SB-Nov-16-0507, (SCI). 304. Wang, C. Y. and Tian, M. Z. (2016). Variable Selection via Adaptive Group Lasso in Additive Quantile Regression Models. No. JSPI-D-16-00592 , Journal of Statistical Planning and Inference, (SCI). 305. Tian, Y. Z., Wu, X. Q., and Tian, M. Z. (2016). A Gibbs Sampling Algorithm For Bayesian Weighted Composite Quantile Regression. Journal of the Korean Statistical Society, under review, (SCI). 306. Hu, Y. N., Wang, C. Y. and Tian, M. Z. (2017).The Application of Sparse VARX Model in Analyzing Agricultural Commodity Domestic Prices. The Journal of Quantitative & Technical Economics, No.20170520004, under review (CSSCI). 307. Tian, Y. Z., Tang, M. L., Wang, L. Y. and Tian, M. Z. (2017), MCMC Algorithm Of Bayesian Weighted Composite Quantile Regression, Acta Math Sinica, (No.B20170358), under review, (SCI). 308. Tian, X. T. and Tian, M. Z. (2018). Tests for Sphericity and Identity of High-Dimensional Covariance Matrices, Chinese Annals of Mathematics, Seriers A, (No. ), (CSCI). 309. Xiong, W. and Tian, M. Z. (2014). Hybrid Weighted Quantile Regression, Journal of Applied Statistics , No. CJAS-2017-0918, under review, (SCI). 310. Li, E. Q., Dai, X. W. and Tian, M. Z. (2016). Variable Selection Based on Ultrahigh Dimensional Competing Risks Models. , (No.) , ( ). 311. Tian, M. Z. and Haerdle, W. (2017). Exponential Risk Bounds and Locally Adaptive Varying Bandwidth Selection for Conditional Quantile Regression, Bernoulli Journal, BEJ1503–029, under review, (SCI). 312. Tao, L., Qian, M. L. and Tian, M. Z. (2018). A Two-stage Approach to Instrument Variable Quantile Regression for Group-level Treatments. Journal of Systems Science and Mathematical Sciences, (No. ), under review, (CSCD) . 313. Xia, L. L. and Tian, M. Z. (2018). Employee Turnover Forecast Based on Lasso-Logistic Regression Model. Statistics & Information Forum, No. , -. under review, (CSSCI). 314. Yan, M. B. and Tian, M. Z. (2018). Two Points of Innovation Analysis on the Improvement of the Statistical System in the New Era. China Statistics, No. , under review, (CSSCI). 315. Bai, Y. X., Qian, M. L. and Tian, M. Z. (2019). Double-penalized Quantile Regression in High Dimensional Partially Linear Additive Models. Journal of the Korean Statistical Society, No. JKSS-D-19-00138, under review, (SCI). 316. Wang, C. Y., Tian, M. Z. and Tang, M. L. (2018). Nonparametric Quantile Regression with Missing Data Using Local Estimating Equations. Biometrika, No. , under review, (SCI). 317. Tao, L., Tai, L. N. and Tian, M. Z. (2018). Interconnected Financial Risk Control Based on Statistical and Data Science`s Perspective. China Finance, No. , under review, (CSSCI).

Proceedings

318. Li, T. T. and Tian, M. Z. (2018). Using Hybrid Volatility’s CAViaR Model for Value-at-Risk, Statistics and Information Forum, No. 2018.10.0106, under review, (CSSCI). 319. Liu, Y. J. and Tian, M. Z. (2018). The Method of Principle Component for Functional Data and Its Application to the Estimation of Volatility of Stock. Statistical Research, No. 2018-1294, (.),—, under review, (CSSCI). 320. Yu, Y. and Tian, M. Z. (2018). Prediction of Popularity of Articles in Social Networks —based on Estimation of Generalized Linear Models with Imputed Data. Forecasting, (.),—, under review, (CSSCI). 321. Zhang, Y. X., Meng, S. W. and Tian, M. Z. (2019). Optimal Bonus-Malus Systems for Automobile Insurance under the Assumption of Conjugate Prior Distributions, ASTIN Bulletin - The Journal of the International Actuarial Association, No. ASTIN-2019-01-008, under review, (SSCI). 322. Rui, R. X. and Tian, M. Z. (2019). A Novel Quantile Test Based on Percentile Deviation. Chinese Annals of Mathematics, _A(2): – ，(CSCD, CSCI). 323. Tai, L. N., Tao, L. and Tian, M. Z. (2020). Bayesian Semiparametirc Quantile Sample Selection Model with Heterogeneity, Acta Mathematica Sinica , (.),–, , (SCI). 324. Xiong, W., Wang, J., Pan, H. and Tian, M.Z. (2019). Research on Robust Nonparametric Imputation for High-dimensional Missing Data. Statistical Research, No. , (1): – , (CSSCI). 325. Zhang, R. X. and Tian, M. Z. (2019). Sliced Inverse Quantile-based Regression for Dimension Reduction, Journal of…, , under review, (SCI). 326. Su, P. and Tian, M. Z. (2019). Censored Quantile Correlation Screening, Biometrics , No. BIOM2019679M , under review, (SCI). 327. Dang, L. X. and Tian, M. Z. (2019). Research on Multi-Classification Problem for Imbalanced Data Based on Active Learning and Boosting Algorithm, Journal of…, , under review, (CSSCI). 328. Han, Z. K. and Tian, M. Z. (2019). Research on Fraud Detection Models in Third Party Payment, Journal of…, , under review, (CSSCI). 329. Li, E. Q., Dai, X. W. and Tian, M. Z. (2019). Penalized Weigted Competing Risks Models Based on Quantile Regression, Journal of …, , under review, (SCI). 330. Ma, S. P. and Tian, M. Z. (2019). Research on Financial Distress Early-warning of Listed Companies Based on Regularized Logit Mixed Effect Model. Journal of…, , under review, (CSSCI). 331. Yan, M. B. and Tian, M. Z. (2019). The Oracle Properties of Adaptive Lasso under Selective Inference Scheme. Journal of…, , under review, (CSCD). 332. Bai, Y. X., Tang, M. L. and Tian, M. Z. (2019). Variable Selection for High Dimensional Additive Non-linear Interaction Model under Marginality Principle. , No. , under review, (SCI). 333. Tao, L., Tai, L. N. and Tian, M. Z. (2020). An Appealing MD-IVQR Estimator for Panel Data Models with Endogeneity. Journal of Business & Economic Statistics, No. JBES-P-2019-0570, under review, (SSCI). 334. Wang, W. X. and Tian, M. Z. (2020). Bayesian Quantile Regression and Its Applications in Generalized Linear Mixed Effects Models, Journal of Systems Science and Mathematical Sciences, , (CSCD). 335. Zhang, C. L. and Tian, M. Z. (2019). Construction of Bootstrap Confidence Intervals Based on Bayes. Statistics and Decision, No. 190715011, to appear, (CSSCI). 336. Luo, Y. X., Zhang，M. and Tian, M. Z. (2019). Research of Additive Quantitle Regression Model for Panel Data and Its Application. Statistical Research, …, –, under review, (CSSCI). 337. Rui, R. X. and Tian, M. Z. (2019). Parameter Estimation in Multi-response Multivariate Generalized Linear Models with Cross-Sectional Data. Journal of Multivariate Analysis, JMVA_2019_359 , under review, (SCI). 338. Xia, L. L. and Tian, M. Z. (2019). Semiparametric Regression Analysis for a Class of Constrained Zero-Inflated Generalized Poisson Models. Journal of Statistical Computation and Simulation, No. GSCS-2019-0488, (SCI). 339. Liu, Y. and Tian, M. Z. (2019). Economic Development Analysis of Counties (Cities) Directly under Yili Prefecture Based on Correspondence Analysis, Economic Review, No. …, under review, (CSCD). 340. Rui, R. X., Liu, Y. X., Wang, Y. H. and Tian, M. Z. (2019). Parameter Estimation in Multi-response Multivariate Generalized Linear Models with Cross-Sectional Data. Journal of Applied Statistics and Management, No. – , under review, (CSSCI, CSCD). 341. Luo, Y. X., Zuo, Q. and Tian, M. Z. (2019). Unconditional Quantile Regression for Panel Data with Fixed Effects and Its Application. The Journal of Quantitative & Technical Economics, under review, (CSSCI). 342. Liang, J. W. and Tian, M. Z. (2020). Nonparametric Maximin Aggregation for Data with Inhomogeneity. Chinese Annals of Mathematics, No. B20200026, under review, (SCI). 343. Yu, Z. and Tian, M. Z. (2019) .First Passage Density of Brownian Motion with Two-sided Piecewise Linear Boundaries. Scicence in China, Mathematics, No.SCM-2019-0537, under review, (SCI). 344. Mu, J. and Tian, M. Z. (2020). Adaptive Group Lasso Penalty Quantile Regression Method for High Dimensional Change Point Model. Journal of Systems Science and Mathematical Sciences, No. 20096, under review, (CSSCI). 345. Li, C. Y. and Tian, M. Z. (2019). Resampling Algorithm Based on Algorithmic Leveraging in Big Data Analytics. Statistical Research, under review, (CSSCI). 346. Zhang, Y. X., Meng, S. W., and Tian, M. Z. (2020). Cost Analysis of Insurance Companies Based on Semiparametric Hierarchical Quantile Regression Model. Insurance Studies, No. 2020. 01. 04. 0002, under review, (CSSCI). 347. Liang, J. W. and Tian, M. Z. (2020). Data Driven Estimator for Time Dynamic Varying Coefficient Models. Computational Statistics and Data Analysis, No. CSDA-D-20-00031, under review, (SCI). 348. Hou, J. and Tian, M. Z. (2020). Study on the Influencing Factors of Commodity Housing Price Based on Improved GTWR model - Taking Urumqi as An Example. Journal of Mathematics in Practice and Theory, No. , (CSSCI, CSCD). 349. Liu, Y., An, B. W. and Tian, M. Z. (2020). Likelihood Test and Its Statistical Inference Based on Zero-one Expansive Poisson Model. Statistics & Information Forum, No. 2020.03.0210, under review, (CSSCI). 350. Liu, Y., An, B. W. and Tian, M. Z. (2020). Price Prediction of Electric Vehicle Based on Multi-logistic Model of Lasso Algorithm. Journal of Mathematics in Practice and Theory, No. , (CSSCI, CSCD). 351. Rui, R. X. and Tian, M. Z. (2020). A Study of the Impact of the Brexit for the Economy of the European Union and the United Kingdom. Economic Research Journal, No. , under review, (CSSCI). 352. Xiong, W., Tang, M. L. and Tian, M. Z. (2020). An Innovative Robust Estimation Methods for Varying Coefficient Model with High-dimensional features. Biostatistics, No. BIOSTS-20133, (SCI). 353. Xiong, W. and Tian, M.Z. (2020). An Innovated Attributes-Benefit Latent Space Model for Directed Scale-Free Networks, Social Networks, (1): – , (SCI). 354. An, B. W., Hou, Z. M., Liu, Y. and Tian, M. Z. (2020). Statistical Diagnosis and Confidence Interval Construction of Zero-inflation Poisson Regression Model, Journal of Applied Statistics and Management, under review, (CSSCI, CSCD). 355. Liang, J. W. and Tian, M. Z. (2020). l_0 Penalized Quantile Regression. Journal of Computational and Graphical Statistics, No. JCGS-20-248, under review, (SCI). 356. Zhou, M. Y. and Tian, M. Z. (2020). Parameter Estimation Based on Guass-Seidel Type Iterative Hierarchical Linear Model. Journal of Mathematics in Practice and Theory, No：20-1846, under review, (CSCD). 357. Tian, Y. Z. Tang, M. L. and Tian, M. Z. (2020). Bayesian Joint Regularized Quantile Regression Inference for Multi-Response Linear Regression Model. 358. Liang, Y. Y. and Tian, M. Z. (2020). Hierarchical Bayesian Spatiotemporal Poisson Model and Its application to COVID-19. Statistical Research, No. 2020 –, under review, (CSSCI). 359. Kurbanyaz, G, Meng, L. J., and Tian, M.Z. (2020). Statistical Analysis of Novel oronavirus Pneumonia Data in Urumqi Based on Hierarchical Bayesian, Statistical Research, No. 2020 –, under review, (CSSCI). 360. Bai, Y. X. and Tian, M. Z. (2020). Screening and Selection for Ultra-high Dimensional Quantile Additive Regression with Missing Data. SCIENCE CHINA Mathematics, No. SSM-2020-0340, under review, (SCI). 361. Liang, J. W. and Tian, M. Z. (2020). Imputed Tensor Regression for Spatial-temporal Data. Journal of Multivariate Analysis, JMVA_2021_, under review, (SCI). 362. Ma, S. P. and Tian, M. Z. (2021). A Bayesian two-stage spatio-temporally dependent model for spatial clustering and variable selection, Journal of…, , under review, (SCI). 363. Liang, Y. Y., Cao, S. Z., Zhou, M. Y. and Tian, M. Z. (2021). Regional division of air quality governance based on pseudo-quantile clustering with the view of functional data. Statistical Research, No. 2021 –, under review, (CSSCI). 364. Hu, Y. N., Qu, X. H. and Tian, M. Z. (2021). Smoothed GMM for Spatial Autoregressive Quantile Modes, Statistical Research, No. 2021-0300 (1): –, (CSSCI). 365. Wang, K., Zhao, S., Tian, M. Z., Yu, Z. X., He, D. H., Yang, L. P., Shang, H., Wang, C. X., Zeng, T., Zhang, L. P., Wang, X. D., Zhou, P., Wu, X. F., Wang, M. H., Wang, W. M., Cai, Y. L., Qin, J, Ran, J. J. and Zhang, X. L. (2021). Modelling the Time Interval between Transmission Generations and the Presymptomatic 2 Period of COVID-19 by Using Contact Tracing Surveillance Data from 100 Cities in Mainland China. Respiratory Research, , –, (SCI). 366. Qian, Z., Luo, Y. X., Zhao, X. Y. and Tian, M. Z. (2021). ….. Journal of Applied Statistics and Management, , –, (CSSCI, CSCD). 367. Li, E. Q., Haerdle, W. K., Dai, X. W. and Tian, M. Z. (2021). Penalized Weighted Competing Risks Models Based on Quantile Regression, Annals of Statistics. (No. AOS2105-049), under revision. (SCI) 368. Meng, L. J., Kurbanyaz, G. and Tian, M. Z. (2021). Statistical Analysis of Chinese Covid-19 Epidemic Data Based on Bayesian-INLA. Journal of Systems Science and Mathematical Sciences, under review, (CSSCI). 369. Zhou, X., and Tian, M.Z. (2021). Research on the Level of Regional Economic Development Based on Factor Analysis and Canonical Correlation Analysis -- A Case Study of Xinjiang, Statistics and Decision, under review (CSSCI). 370. Zhang, L. P., and Tian, M.Z. (2021). Research on Evaluation of Competitiveness Level of Xinjiang Catering Industry, Journal of Mathematics in Practice and Theory, under review (CSCD). 371. Si, S. J., Gu, J. W., and Tian, M.Z. (2021). Leveraging Single-case Results to Bayesian Hierarchical Modelling, Computational Statistics and Data Analysis, under review (CSCD). 372. Kurbanyaz, G, and Tian, M.Z. (2021). Statistical Diagnosis of Joint Log Mean and Log Variance Model Under Lognormal Distribution, Statistical Research, under review (CSSCI). 373. Wang, K., …, Tian, M. Z. (2021). The Construction and Analysis of ceRNA Network and Patterns of Immune Infiltration based on tumor mutation load in cervical cancer. 374. Yu, Z., Zhang, X. L., Wang, K. and Tian, M. Z. (2021). Bayesian Spatiotemporal Weighted Composite Quantile Regression for Costs of Hospital Discharges for Alcohol-related Disorders, Statistics in Medicine. No. SIM-21-0459, under review, (SCI). 375. Bai, Y. X., Haerdle, W. K., Pan, J. X., Rui, R. X., Tian, M. Z., Wang, K. and Zhang, X. L. (2021). Variable Selection for High Dimensional Additive Quantile Regression with Interactions under Marginality Principle. No. BIOMTRKA-21-344, under review, (SCI). 376. Cao, S. Z. and Tian, M. Z. (2021). Bayesian estimation of exponential distribution parameters based on uninformed priori under Stein loss function. Journal of Applied Statistics and Management, under review, (CSSCI, CSCD). 377. Yu, Z., Ju, T. T., Wang, C. J. and Tian, M. Z., (2021). Hierarchical Shrinkage Models via Variational Bayes and Its Application. Journal of Applied Statistics and Management, No.-, –, under review, (CSSCI, CSCD). 378. Hu, Y. N., Yin, W. X. and Tian, M. Z. (2021). The Influence of Minimum Wage on Manufacturing Labor Cost and Its Heterogeneity Analysis, Economic Science, 2021-0753: –, (CSSCI). 379. Liang, Y. Y. and Tian, M. Z. (2021). Estimation of Binary Penalty Spline Quantile Regression for Spatial Varying Coefficient Model. Statistical Research, No. 2021 –, under review, (CSSCI). 380. Rui, R. X. and Tian, M. Z. (2021). Non-iterative Gaussianization. Journal of Computational and Graphical Studies, No. GCGS-21-188, under review, (SCI). 381. Liang, Y. Y. and Tian, M. Z. (2021). Quantile Regression Estimation and Application of Partial Linear Variable Coefficient Spatial Model. Statistics & Information Forum, –, under review, (CSSCI). 382. Kurbanyaz, G, and Tian, M.Z. (2021). Spatial Heteroscedasticity Test for Mixed Geographically Weighted Regression Models, Journal of Applied Statistics and Management, under review, (CSSCI, CSCD). 383. Liu, Y. X., Wang, Z. H., Tian, M. Z. and Yu, K. M. (2021). Estimation and variable selection for generalized functional partially varying coefficient hybrid models, No. SS-2021-0255 , Statistica Sinica, under review, (SCI). 384. Xiong, W., Pan, H., Wang, J. R. and Tian, M. Z. (2021). An Efficient Model-free Approach to Interaction Screening for High Dimensional Data, Computational and Mathematical Methods in Medicine, (SCI). 385. Xiong, W., Pan, H., Yu, K. M. and Tian, M. Z. (2021). Weighted Optimal Quantile Regression Method for Heterogeneous Data. Statistical Researach. ( ): – , (CSSCI). 386. Mei, B. and Tian, M. Z. (2021). The Unconditional Tilting Quantile Curve for Functional Data and Its Applications. Journal of Applied Statistics and Management, 18-0282, 2th revised, (CSSCI, CSCD). 387. Qian, M. L., Tian, X. T., Bai, Y. X. and Tian, M. Z. (2021). Hypothesis Testing for High- dimensional Covariance Matrices under Non-normality. Journal of Statistical Planning and Inference, … (SCI). 388. Tian, Y. Z. and Tian, M. Z. (2021). Bayesian LASSO-Regularized Weighted Composite Quantile Regression with Its Application. Chinese Journal of Applied Probability and Statistics. Vol. , No. , pp. - . 389. Liu, Y. X., Wang, Z. H. and Tian, M. Z. (2021). Composite Quantile Estimation for Varying Coefficient Partially Functional Linear Models. Journal of Applied Statistics and Management, No. 2020.08.16.0001, (CSSCI, CSCD). 390. Bai, Y. X. and Tian, M. Z. (2021). Screening and selection for ultra-high dimensional quantile regression with missing data and measurement error. Journal of Applied Statistics and Management, –, (CSSCI, CSCD).  2015 1) “Adaptive Quantile Regression and Its Applications to VaR” , The China-Japan Symposium. Invited speaker, Doshisha University, Japan, November 6-11, 2015. 2) The IMS-China International Conference on Statistics and Probability. Organizer of the Invited session IS70, University of Yunnan, Yunnan, China, July 1-4, 2015.  3) “Statistical Modeling of Complex Data and Its Applications”. A Series of Academic reports, Invited speaker, Lanzhou University of Finance and Economics, Lanzhou, Gansu, China, June 1, A. M., 2015. 4) “The Analysis of High Dimensional Data and Current Employment in China”. A Series of Academic reports, Invited speaker, Lanzhou University of Finance and Economics, Lanzhou, Gansu, China, June 1, P. M., 2015. 5) “Modeling of Complex Spatial-Temporal Data with Hierarchy”. The Establishment of the Branch of High Dimensional Data, Chinese Association for Applied Statistics （CAAS）and The 1st Symposium, Invited speaker, Anhui Normal University, Wuhu, Anhui, China, April 24-26, 2015. 6) The 9th National Symposium of on Survival Analysis and Applied Statistics. Secretary General and Organizer, Jilin University, Jilin, China, April 9-11, 2015.  2014 7) “Adaptive Quantile Regression with Precise Risk Bounds”. The enlarged Conference of The Chinese Association for Applied Statistics （CAAS）and Symposium on Frontier in Statistics, Invited speaker, Beijing University of Technology, Beijing, China, December 19-21, 2014. 8) “Adaptive Quantile Regression with Precise Risk Bounds”. Academic report， Invited speaker, North China University of Technology, Beijing, China, December 11, 2014. 9) “Statistical Inverse Problems and Applications”. The 1th International Conference on Big Data & Applied Statistics. Organizer General, Renmin University of China, Beijing, China, November 28-30, 2014. 10) “Complex Data Analysis with High Dimensionality”. The 11th Symposium on Data Mining & Business Intelligence and The Symposium on Applied Statistics across The Taiwan Strait. Invited speaker, Fu Jen Catholic University, Taiwan, October 30-31, 2014. 11) “Theory and Methodology for the Modeling of Complex Hierarchical Spatial-Temporal Data”. The 10th Conference of National Probability & Statistics in China. Invited speaker, Shandong University, Ji Nan, China, October 17-21, 2014. 12) “Calculation of High Dimensional VaR in Financial Risk Management”. A Series of Academic reports， Invited speaker, Lanzhou University, Lanzhou, Gansu, China, September 18, 2014. 13) “Analysis of Complex Data with High Dimensionality: Statistical Theory, Methodology & Applications and Current Employment in China”. A Series of Academic reports, Invited speaker, Lanzhou University, Lanzhou, Gansu, China, September 17, 2014. 14) “Statistical Theory and Methodology for Epidemiological Risk Indices”. A Series of Academic report， Invited speaker, Lanzhou University, Lanzhou, Gansu, China, September 16, 2014. 15) “Statistical Analysis of High Dimensional Data with Hierarchical Strucutre”. A Series of Academic report, Invited speaker, Lanzhou University, Lanzhou, Gansu, China, September 15, 2014. 16) “Statistical Inverse Problems”. Academic report， Invited speaker, Gansu Agricultural University, Lanzhou, Gansu, China, September 4, 2014. 17) “Statistical Inverse Problems and Applications”. The 6th International Forum on Statistics, Renmin University of China. Plenary speaker, Renmin University of China, Beijing, China, May 24-25, 2014. 18) The 8th National Symposium of on Survival Analysis and Applied Statistics. Secretary General and Organizer, Jilin University, Jilin, China, March 27-30, 2014.  2013 19) “Adaptive Quantile Regression with Precise Non-asymptotic Risk Bounds”. The 9th International Chinese Statistical Association (ICSA) International Conference: Challenges of Statistical Methods for Interdisciplinary Research and Big Data. Invited speaker, Hong Kong Baptist University, Hong Kong, December 20-23, 2013. 20) Joint conference of 5th AISECT and 4th EARBC. Session Chair, Renmin University of China, Beijing, China, July 6-7, 2013. 21) “Saddlepoint Approximation and Its Applications to Contemporary Risk Management”, The International Exchange for Chinese-Italian Statisticians. Invited speaker, the Faculty of Economic, University of Florence, Italy, January 28-29, 2013.  2012 22) “Statistical Inverse Problems and Applications”. The 7th National Symposium on Survival Analysis and Applied Statistics. Invited speaker and sectional chair, Kunming, China, August 26, 2012. 23) “Statistical Inverse Problems and Applications”. The 4th Annual Statistical Conference of China. Invited speaker and sectional chair, Kunming, China, August 25-28, 2012. 24) “Saddlepoint Approximation to Value-at-Risk Based on Time-inhomogeneous Volatility Models”. The 5th International Forum on Statistics, Renmin University of China. Invited speaker, Renmin University of China, Beijing, China, July 13-15, 2012. 25) “Exact Interval Estimation for the Risk Difference under Inverse Sampling”. The 2th International Symposium on Biostatistics. Invited speaker and sectional chair, Renmin University of China，Beijing, China, July 7-9, 2012. 26) Symposium on Business Statistics & Economic Measurement and Ten Year Anniversary for the Department of business statistics and econometrics. Invited guest, The Peking University. Beijing, China, June 2-3, 2012. 27) Scholarly Communication Meeting for Statisticians in Beijing. Invited guest, Capital University of Economics and Business. Invited guest, Beijing, China, June 2, 2012.  2011 28) “Adaptive Quantile Regression”. The National Statistical Symposium of China. Invited speaker, Beijing, China, December 10-11, 2011. 29) “Robust Estimation in Inverse Problems via Quantile Coupling”. The International Conference on Applied Mathematics and Statistics. Invited speaker and sectional chair, Beijing, China, August 21-22, 2011. 30) “Composite Quantile Regression Based on Varying-coefficient Models with Heteroscedasticity”. Chinese Statistician Symposium in Dali Yunnan. Invited speaker, Dali, Yunnan, China, August 1-4, 2011. 31) “Adaptive Quantile Regression with Precise Non-asymptotic Risk Bounds”. The 3th IMS-China International Conference on Statistics and Probability. Invited speaker, Xi An, China, July 8th-11th , 2011. 32) “Oracle Inequality for Statistical Inverse Problems”. The 1th International Conference on Mathematical Statistics and Related Fields. Invited speaker and sectional chair, Renmin University of China, Beijing, China, July 4th-6th , 2011. 33) “On The Bootstrap Quantile-treatment-effect Test”. The 4th Annual International Symposium on the Evaluation of Clinical Trials Methodologies and applications. Invited speaker and sectional chair, Renmin University of China, Beijing, China, June 30th-July 3th, 2011.  2010 34) “Saddle Point Approximation and Volatility Estimation of Value-at-Risk Adaptive”. China Forum on Risk Management and Actuarial. Invited speaker and sectional chair, Renmin University of China, Beijing, China, November 19th-21th, 2010. 35) “Locally Adaptive Quantile Regression and Its Applications”. International workshop “Quantile Regression:Theory and Applications”. Humboldt-Universität zu Berlin, Germany, October 5th-10th, 2010. 36) “Confidence Intervals for the Risk Ratio under Inverse Sampling”. The 1th Joint Biostatistics Symposium. Invited speaker and sectional chair, Renmin University of China, Beijing, China, July 17th-18th, 2010. 37) “Locally Adaptive Quantile Regression and Its Applications”. The 4th International Forum on Statistics, Renmin University of China and 5th International Symposium on Frontier of Statistical Science. Invited speaker and sectional chair, Renmin University of China, Beijing, China, July 10-12, 2010. 38) “Statistical Inverse Problems”. International Conference on Statistical Analysis of Complex Data Schedules. Invited speaker and sectional chair, Yunnan University, Kunming, China, July 1-3, 2010. 39) “Saddle Point Approximation and Volatility Estimation of Value-at-Risk”. International Conference on Quantaties Methods in Business Applications, invited speaker, Guanghua School of Management Peking University Beijing China, June 15-16, 2010. 40) “Exponential Risk Bounds and Locally Adaptive Varying Bandwidth Selection for Conditional Quantile Regression”. The 1th China-Korea Symposium on Modern Statistical Theory and Its Applications. Invited speaker, Renmin University of China, Beijing, China, June 14-15, 2010.  2009 41) “Robust Estimation in Inverse Problem via Quantile Coupling”. Research seminar, invited speaker, Renmin University of China, Beijing, China, November 25, 2009.  2008 42) “Locally Varying Bandwidth Selection for Conditional Quantile Regression”. Research seminar, invited speaker, C.A.S.E., Humboldt University, Germany, July 10, 2008  2006 43) “Semiparametric Quantile Regression Models for Hierarchical Data”. The 2th International Statistic Forum, Renmin University of China, Beijing, China, June 10-11, 2006 44) “Confidence Interval for Epidemiologic Rate Based on Saddle-point Approximations Approach under Inverse Sampling”. Research seminar, invited speaker, Central China Normal University, Wuhan, China. April 17, 2006. 45) “On Hierarchical Nonparametric Quantile Regression”. Research seminar, invited speaker. The Chinese University of Hong Kong, Hong Kong, March 28, 2006.  2005  2004 46) “Longitudinal Study of the External Pressure Effects on Children`s Mathematical Achievements”. The American Educational Research Association Conference, speaker, San Diego, USA, April 12-16, 2004.  2003 47) “Quantile Models: Theory and Practical Guideline for Empirical Research in Education”. Research seminar, invited speaker, University of Alberta, Canada, May 1 - July 31, 2003.  2002 48) “A Generalized Variance-ratio Test for A Heteroskedastic Regression”. The Beijing-Tianjin Conference of Chinese Probability and Statistics, invited speaker, Renmin University of China, China, May 20, 2002. 49) “Quasi-residuals Method in Sliced Inverse Regression”. The 7th Conference of Chinese Probability and Statistics, speaker, Northeast Normal University, Changcun, Jilin, China, September 19-24, 2002.  2001 50) “Statistical Diagnostics for Heteroscedasticity and Outliers”. Research seminar, invited speaker, Academy of Mathematics and System Sciences, Chinese Academy of Sciences, China, July 25, 2001. 51) “Quasi-residual Diagnostic Theory and Methodology for Heteroscedastic Models”. The 6th Conference of Chinese Probability and Statistics, invited speaker, Beijing, China, Sept. 19-24, 2001.