中国人民大学统计学院

报告人：

金嘉顺 教授   Carnegie Mellon(卡耐基.梅隆)大学统计学系

报告题目：

Estimating the null parameters in large-scale multiple testing

报告时间：

6月17日（周二）下午2：00-3：30

报告地点：

明德主楼1030

报告人简历:

Jiashun Jin

Associate professor in Department of Statistics,Purdue University.

Visting Associate professor in Carnegie,Department of Statistics Mellon University.

1989-1997年 北京大学数学系,学士硕士

2003, Stanford University, Statistics, Ph.D.

主要研究兴趣:

large-scale inference and massive-data analysis, where the data are usually very high-dimensional and one must estimate very large numbers of parameters or test very large numbers of hypotheses simultaneously. The setting is frequently found in many scientific areas, e.g. genomics, astronomy, functional Magnetic Resonance Imaging (fMRI), and image processing. Advances in large-scale inferences enable faster exactration of useful information in various scientific fieds and broaden the scope of theory and methodology in statistics.

欢迎我院老师和学生前来参加。