[Lecture] Niansheng Tang：Post-selection inference of high-dimensional logistic regression under case-control design
Time: 20:00-21:00pm, Oct. 13th, 2021, Wednesday
Venue: Tencent meeting ID：713652103
Spreker: Niansheng Tang, Professor, Dean of the School of Mathematics and Statistics, Yunnan University
Abstract:Confidence sets are of key importance in high-dimensional statistical inference. Under case-control study, a popular response-selective sampling design in medical study or econometrics, we consider the confidence intervals and statistical tests for single or low-dimensional parameters in high-dimensional logistic regression model. The asymptotic properties of the resulting estimators are established under mild regularity conditions. Furthermore, statistical tests for testing more general and complex hypotheses of the high-dimensional parameters are studied. The general testing procedures are proved to be asymptotically exact and has satisfactory power. Numerical studies including extensive simulations and a real data example confirm that the proposed method performs well in practical settings。
Speaker’s Bio:唐年胜，云南大学教授，博士生导师，数学与统计学院院长。“国家杰出青年科学基金”获得者，国家高层次人才，教育部“新世纪优秀人才支持计划”入选者，国家百千万人才工程暨有突出贡献中青年专家，享受国务院政府特殊津贴。国际统计学会推选会员，国际数理统计学会会士（IMS Fellow）。 在Journal of the American Statistical Association（美国统计学会会刊）、Annals of Statistics、Biometrika、Journal of Econometrics、Psychometrika等学术期刊发表论文170余篇；出版专著4部。
