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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