报告地点：舜耕校区实验楼505

报告时间：2025年9月29日（星期一）9:30—11:30

主办单位：日本做爱

协办单位：科研处，黄河流域生态统计协同创新中心，现代统计交叉科学重点实验室，统计学博士后科研流动站

一、青年教师工作论文报告

二、特邀专家报告

报告题目：Statistical Inference for Mediation Models with High Dimensional Exposures and Mediators

报告人：刘婧媛，教授，厦门大学经济学院统计与数据科学系

报告人简介：刘婧媛，厦门大学经济学院统计学与数据科学系教授、博士生导师，国家级青年人才（教育部），厦门大学南强卓越教学名师、南强青年拔尖人才（A类）、厦门大学“我最喜爱的十位教师”。美国宾夕法尼亚州立大学统计学博士。科研方面主要从事高维及复杂数据的统计方法、网络数据建模与推断、多数据源整合、因果中介效应分析等领域的工作，在JASA，JOE，JBES等国际权威学术期刊发表论文30余篇，担任JBES和AOAS编委，入选福建省杰出青年科研人才计划。

摘要: High-dimensional mediation analysis has gained increasing interest in various fields, particularly in genetic and medical research. Compared with existing works that focus mainly on high-dimensional mediators, this paper advocates a new statistical inference framework, named PRIME, when both exposures and mediators are high-dimensional. Estimated direct and indirect effects are established using a group-wise partially penalized least squares method, incorporating a double-layer latent factor structure. F-type and Wald tests for the high-dimensional direct and indirect effects, respectively, are advocated based on the proposed estimators. Both theoretical and numerical performance of PRIME have been carefully studied. PRIME is also applied to investigating direct effects of genetic variants on Alzheimer's disease and indirect effects of them mediated by changes in brain activity intensity.