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许王莉

职 称: 教授


职 务: 教研室主任


电子邮箱: xwlbnu@163.com

教育经历

• 2003.9-2006.7 中国科学院数学与系统科学研究院应用所,概率统计,博士学位.
• 2000.9-2003.7 北京师范大学,数学科学学院,生物统计, 硕士学位.
• 1996.9-2000.7 山西师范大学,数学与计算机科学学院,数学教育,理学学士.

工作经历

• 2015.9- 至今 中国人民大学统计学院, 教授, 博士生导师
• 2009.9- 2015.8 中国人民大学统计学院, 副教授, 硕士生导师
• 2006.9- 2009.8 中国人民大学统计学院, 讲师

出访交流情况

• 2004.3-2004.5, 访问香港大学统计及精算学系.
• 2005.2-2005.3, 访问香港大学统计及精算学系.
• 2009.9-2010.8, 美国北卡罗来纳大学教堂山分校做博士后研究
• 2011.2-2011.3, 访问香港浸会大学数学系
• 2012.1-2012.3, 访问香港浸会大学数学系

兼任职务

中国现场统计研究会生存分析分会副秘书长(2012-)
国际生物统计学会中国分会(IBS-CHINA)青年理事(2014-)
中国现场统计研究会高维数据统计分会理事(2015-)
中国现场统计研究会实验设计分会理事(2018-)
北京应用统计学会理事(2018-)

基金项目

主持的在研项目

 国家自然科学基金面上科学基金项目,概率抽样设计及其统计推断方法(编号:11471335), 2015.1-2018.12.
 中国人民大学研究品牌计划, 纵向数据中缺失数据的模型检验(编号:12XNI004)2015.01—2017.12.
 教育部人文社会科学重点研究基地重大项目,基于大数据的精准医学生物统计分析方法及其应用研究(编号:16JJD910002) 2016.9-2020.12

主持的已完成项目

 国家自然科学基金面上科学基金项目,两阶段抽样设计及其统计推断方法(编号:11071253), 2011-2013.
 教育部新世纪优秀人才支持计划(编号:NCET-10-0803), 2011-2014.
 国家自然科学基金青年科学基金项目,纵向数据模型的拟合优度检验问题(编号:10701079), 2008-2010.
 北京邮电大学网络与交换技术国家重点实验室合作项目,上下文感知数据信息的统计分析和计算处理, 2010-2011.
 教育部人文社会科学研究青年项目,重复测量数据模型的推断及其应用(编号:08JC910002), 2008-2011.
 北京市科技新星计划 (编号:2010B066), 2011-2014.
 中国人民大学研究品牌计划, 不完全数据的抽样设计及其统计推断(编号:12XNI004)2011.12—2014.12

学术奖励

中国人民大学杰出青年学者A岗(2017)
中国第十二届北京市统计科研优秀成果奖一等奖(2014)
中国人民大学2013和2014届优秀学士学位论文指导教师
中国人民大学2012和2013届优秀硕士学位论文指导教师
2011-2012学年和2012-2013学年两次获得中国人民大学优秀班主任
2010年入选教育部新世纪优秀人才支持计划
2010年入选北京市科技新星计划

开设课程

统计计算, 非参数统计,广义线性模型,统计学等课程

研究方向

模型检验,缺失数据分析,纵向数据分析,高维数据分析,抽样设计等

著作成果

• 朱力行 许王莉,《非参数蒙特卡罗检验及其应用》, 科学出版社 (2008)
• 许王莉,《缺失数据的模型检验及其应用》, 科学出版社 (2014)

部分发表文章(*表示通讯作者,全部SCI检索)

50. Zhang, S., Zhao, P. X., Li, G. R. and Xu, W. L. (2018) Nonparametric independence screening for ultra-high dimensional generalized varying coefficient models with longitudinal data, Journal of Multivariate Analysis, accepted.
49. Yu, W., Xu, W. L. and Zhu, L. X. (2018) A combined p-value test for the mean difference of high-dimensional data. Science China Mathematics, accepted.
48. Cui, J. R., Li, C. X., Yang, K. and Xu, W. L.*(2018) Adaptive positive and negative runs test. Journal of Statistical Computation and Simulation, 88, 1314-1335.
47. Guo, X. , Fang, Y., Zhu, X. H, Xu, W. L. and Zhu, L. X. (2018) Semiparametric double robust and efficient estimation for mean functionals with response missing at random. Computational Statistics and Data Analysis, 128, 325–339.
46. Yang, K., Zhu, L. P. and Xu, W. L.* (2018) Adaptive composite quantile regressions and their asymptotic relative efficiency. Journal of Statistical Computation and Simulation, 88, 900-919.
45. Zhang, J,Zhou, L, Cui, X. and Xu, W. L.(2018) Semiparametric quantile estimation for varying coefficient partially linear measurement errors models, Brazilian Journal of Probability and Statistics, 32, 616-656.
44. Ma, C. J. , Xu, W. L., Zhou, L., Ma, S. G. and Wang, Y. (2018) Association between lifestyle factors and suboptimal health status among Chinese college rreshmen: a cross-sectional study. BMC Public Health, 18: 105.
43. Yu, W., Xu, W. L. and Zhu, L. X. (2017) A modified Hosmer-Lemeshow test for large data sets, Communications in Statistics-Theory and Methods, 46,11813-11825.
42. Qiao, Y. X., Yu, W. and Xu, W. L.* (2017) Two new estimators for the proportion of true null hypothesis in multiple test, Journal of Statistical Computation and Simulation, 87,712-723.
41. Guo, X., Li, Q. Y. and Xu, W. L. (2017) Acceleration of the EM algorithm using the Vector Aitken method and its Steffensen form. Acta Mathematicae Applicatae Sinica, English Series, 33,175-182.
40. Yu, W., Xu, W. L.* and Zhu, L.(2016) Confidence interval estimation for negative binomial group distribution, Journal of Statistical Computation and Simulation, 86, 524-534.
39. Xu, W. L.*, Yu, W. and Li, Z. X. (2016) Confidence Interval Estimation by a Joint Pivotal Method, Computational Statistics, 31, 497-511.
38. Niu, C. Z., Guo, X., Xu, W. L.* and Zhu, L. X. (2016) Checking nonparametric component for partial linear regression model with missing response, Journal of Statistical Planning and Inference, 168, 1-19.
37. Qiao, X. Q., Yu, W., Zhang, J. S., Tan W., Su, J. C., Xu, W. L. and Chen, J. L. (2015) Recommending nearby strangers instantly based on similar check-in behaviors, IEEE Transactions on Automation Science and Engineering, 12, 1114-1124.
36. Xu, W. L.* and Zhu, L. X. (2015) Nonparametric check for partial linear errors-in-covariables models with validation data. Annals of the Institute of Statistical Mathematics, 67, 793-815.
35. Xia, Q., Xu, W. L. and Zhu, L. X. (2015) Consistently determining the number of factors in multivariate volatility modeling, Statistica Sinica, 25, 1025-1044.
34. Dong, Z. C., Yu, W. and Xu, W. L.* (2015) A modified combined p-value multiple test, Journal of Statistical Computation and Simulation, 85, 2479-2490
33. Guo, X., Niu, C. Z., Yang, Y. P. and Xu, W. L. (2015) Empirical likelihood for single index model with missing covariates at random. Statistics, 49, 588-601.
32. Guo, X., Xu, W. L. and Zhu, L. X. (2015) Model checking for parametric regression with response missing at random. Annals of the Institute of Statistical Mathematics, 67, 229-259.
31. Zhou, J. K., Xu, W. L. and Zhu, L. X. (2015) Robust estimating equation-based sufficient dimension reduction, Journal of Multivariate Analysis, 134, 99-118.
30. Yu, W., Xu, W. L.* and Zhu, L. X. (2014) Transformation-based model averaged tail area inference. Computational Statistics, 29, 1713-1726.
29. Niu, C. Z., Guo, X., Xu, W. L*. and Zhu, L. X. (2014) Comparison of several Birnbaum-Saunders distributions. Journal of Statistical Computation and Simulation, 84, 2721-2733.
28. Niu, C. Z., Guo, X., Xu, W. L. and Zhu, L. X. (2014) Testing equality of shape parameters in several inverse Gaussian populations. Metrika, 77, 795-809.
27. Niu, C. Z., Guo, X., Xu, W. L.* and Zhu, L. X. (2014) Empirical likelihood inference in linear regression with nonignorable missing response. Computational Statistics and Data Analysis, 79, 91-112.
26. Yu, W., Niu, C. Z. and Xu, W. L*. (2014) An empirical likelihood inference for the coefficient difference of a two-sample linear models with missing response. Metrika, 77, 675-693.
25. Qiao, X. Q., Su, J. C., Zhang, J. S., Xu, W. L. et al. (2014) Recommending friends instantly in location-based mobile social networks. China Communications, 11, 109-127.
24. Yu, W., Guo, X. and Xu, W. L*. (2014) An improved score interval with a modified midpoint for a binomial proportion, Journal of Statistical Computation and Simulation, 84, 1022–1038.
23. Zhou, H. B., Xu, W. L., Zeng, D. L. and Cai, J. W. (2014) Semiparametric inference for data with a continuous outcome from a two-phase probability-dependent sampling scheme. Journal of the Royal Statistical Society B. 76,197-215.
22. Guo, X., Xu, W. L. and Zhu, L. X. (2014) Multi-index regression models with missing covariates at random. Journal of Multivariate Analysis, 123, 345-363.
21. Guo, X., Wang, T., Xu, W. L. and Zhu, L. X. (2014) Dimension reduction with missing response at random. Computational Statistics and Data Analysis, 69, 228-242.
20. Xu, W. L. and Guo, X. (2013) Checking the adequacy of partial linear models with missing covariates at random, Annals of the Institute of Statistical Mathematics, 65, 473-490.
19. Xu, W. L. and Guo, X. (2013) Nonparametric checks for varying coefficient models with missing response at random. Metrika, 76, 459-482.
18. Li, Z. X., Cui, Y. and Xu, W. L. (2013). Some properties for the estimators in linear mixed models, Acta Mathematicae Applicatae Sinica-English Series, 29,105-116.
17. Xu, W. L. *, Li, Y. W. and Song, D. (2013).Testing normality in mixed models using a transformation method. Statistical Papers, 54, 71-84.
16. Xu, W. L. and Zhu, L. X. (2013) Testing the adequacy of varying coefficient models with missing responses at random. Metrika, 76, 53-69.
15. Guo. X. and Xu, W. L. * (2012) Goodness-of-fit tests for general linear models with covariates missed at random. Journal of Statistical Planning and Inference, 142, 2047–2058.
14. Xu, W. L. and Zhou, H. (2012) Mixed effect regression analysis for a cluster-based two-stage outcome-auxiliary-dependent sampling design with a continuous outcome. Biostatistics, 13, 650-664.
13. Li, Z. X., Wang, Y. D., Wu, P., Xu, W. L. and Zhu L. X. (2012). Tests for variance components in varying coefficient mixed models, Statistica Sinica, 22,123-148.
12. Xu, W. L, * Guo, X. and Zhu, L. X. (2012) Goodness-of-fitting for partial linear model with missing response at random. Journal of Nonparametric Statistics, 24,103-118.
11. Shi, L., Wang, R. W., Zhu, L. X., Zeng, W. M., Xu, W. L. and Zheng, Q. (2011). Varying coefficient analysis for indeterminate species interactions with non-parametric estimation, exemplifying with a fig-fig wasp system, Chinese Science Bulletin, 56, 2545–2552.
10. Liu, M. , Qiao, X. Q. and Xu, W.L. (2011) Three categories customer churn prediction based on the adjusted real adaboost, Communications in Statistics - Simulation and Computation, 40, 1548-1562.
9. Li, Z. X., Zhu, L.X., Wu,P., Wu, J.H. and Xu, W.L. (2010) Testing for random effects in linear mixed models for longitudinal data under moment conditions. Acta Mathematica Sinica-English Series, 26, 497-514.
8. Xu, W. L. * and Lu, Y. Q. (2009) Goodness-of-fit for longitudinal count data with overdispersion. Communications in Statistics-Theory and Methods, 38, 3745-3754.
7. Li, Z. X., Xu, W. L. and Zhu, L. X.(2009) Influence diagnostics and outlier tests for varying coefficient mixed models. Journal of Multivariate Analysis, 100, 2002-2017.
6. Xu, W. L. * and Zhu, L. X. (2009) A goodness-of-fit test for a varying-coefficients model in longitudinal studies. Journal of Nonparametric Statistics, 21: 427-440.
5. Xu, W. L. and Zhu, L. X. (2009) Kernel-based generalized cross validation in nonparametric mixed-effects models. Scandinavian Journal of Statistics, 36: 229-247.
4. Xu, W. L. and Zhu, L. X. (2008). Goodness-of-fit testing for varying-coefficient models. Metrika, 68: 129-146.
3. Stute, W, Xu, W. L and Zhu, L. X. (2008) Model diagnosis for parametric regression in high-dimensional spaces. Biometrika, 95: 451-467.
2. Zhu, L. X., Qin, Y. S. and Xu, W. L. (2007). The empirical likelihood goodness-of-fit test for regression model . Science in China Series A-Mathematics , 50: 829-840.
1. Yang, H., Xu, W. L., ect. (2005). Information flow and controlling in regularization inversion of quantitative remote sensing, Science in China-Series D, 48: 74-83.