课程简介

课程名称：Semiparametric Models and Theory of Empirical Processes

课程内容：This course will introduce basic knowledge on semiparametric models and will describe mathematical theory and tools to be used in statistical inference. The latter include both theory of empirical processes and semiparametric efficiency theory. Finally, this course will present cases studies of using these models and theories to solve problems in biomerical applications.

作者简介：Donglin Zeng (曾冬林)，北卡罗来纳大学教堂山分校的生物统计系教授，密西根大学安娜堡分校统计学博士，美国统计学会（ASA）和国际数理统计学会（IMS）的会士。主要研究方向包括semiparametric inference, high-dimensional data, machine learning, personalized medicine, survival analysis and clinical trials. 至今已发表180余篇学术论文，曾担任各统计学顶级学术期刊的副主编。

课程信息

课程时间：2021.11.17—2021.12.17期间，每个周三和周五的上午9：00—11：00，共计十次课程，具体时间如下：

(1) 2021.11.17 9：00—11：00

(2) 2021.11.19 9：00—11：00

(3) 2021.11.24 9：00—11：00

(4) 2021.11.26 9：00—11：00

(5) 2021.12.01 9：00—11：00

(6) 2021.12.03 9：00—11：00

(7) 2021.12.08 9：00—11：00

(8) 2021.12.10 9：00—11：00

(9) 2021.12.15 9：00—11：00

(10) 2021.12.17 9：00—11：00

Zoom会议号：697 064 8295 密码：956998

Zoom网址：

https://us02web.zoom.us/j/6970648295?pwd=WmZ1T1hoVElXOFF2YVVFeHhrMzhjdz09

推荐教材

Asymptotic Statistics, by A.W. van der Vaart, 1998 Cambridge.

Efficient and Adaptive Estimation for Semiparametric Models, by P. J. Bickel, C.A. J.Klassen, Y.Ritov and J. A. Wellner, 1993 Johns Hopkins University Press.

Empirical Processes and Weak Convergence, by A. W. van der Vaart and J. A. Wellner,1996 Springer.

欢迎各位老师同学积极参加！