报告时间：2026.11.13（周五），15:30——16:30
报告地点：江苏理工学院东龙校区28-316会议室
报告人：赵彦勇教授（南京审计大学）
题目：Varying-Coefficient Mediation Analysis with High-Dimensional Mediators
Abstract: Mediation models reveal the underlying causal mechanisms by explaining both the direct effect of an explanatory variable on an outcome variable and the indirect effect mediated through intermediary variables. In traditional mediation models, it is assumed that the effect of the explanatory variable on the outcome variable is fixed. However, this assumption is often too restrictive in many practical applications. To capture the complex patterns of explanatory variable effects that vary with covariates, this paper proposes a high-dimensional mediation analysis method based on varying coefficient models. We apply this method to the ADNI anatomical MRI data to investigate potential mediating mechanisms in the factors influencing Alzheimer’s disease (AD). The results indicate that the varying coefficient high-dimensional mediation model better captures the complex causal relationships, providing a new analytical tool for causal inference in high-dimensional environments. We successfully identify a set of ROI-based volumetric mediators for AD and further elucidate the influence of age on AD.
报告人介绍：南京审计大学统计与数据科学学院教授，博士生导师。近年来，在《中国科学:数学》《统计研究》《Journal of Machine Learning Research》《Journal of Multivariate Analysis》等权威期刊发表论文40余篇；主持国家社会科学基金后期资助重点项目1项、国家自然科学基金项目2项、省部级项目4项（含重点项目1项）；相关成果获全国商业科技进步奖二等奖、江苏省统计科研优秀成果奖二等奖、全国应用统计专业学位研究生教育教学成果奖二等奖等；担任中国现场统计研究会理事等。
邀请人：陈雪平
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