Post-selection inference of high-dimensional logistic regression under case-control design

报告题目：Post-selection inference of high-dimensional logistic regression under case-control design

报告人：唐年胜教授（云南大学）

时间：2023年4月27日（周四）下午2:00开始

地点：腾讯会议

会议ID：359-234-647

摘要：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.

报告人简介：云南大学数学与统计学院教授，博士生导师，院长。“国家杰出青年科学基金”获得者，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）。云南省科技领军人才，云南省高等学校教学名师。现兼任教育部高等学校统计学类教学指导委员会委员、中国统计学会常务理事、中国现场统计研究会副理事长、中国现场统计研究会资源与环境统计分会副理事长、中国现场统计研究会高维数据统计分会副理事长；Statistics and Its Interface、Communications in Mathematics and Statistics 等10余个杂志的编委或副主编。研究方向包括：生物统计、贝叶斯统计、统计诊断、缺失数据分析、高维数据分析、生存数据分析等，在JASA、Annals of Statistics、Biometrika、Journal of Econometrics、JMLR等学术期刊发表论文190余篇；出版学术专著5部、译著2部、教材1部。

联系人：张荣茂（rmzhang@zju.edu.cn）

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