报告题目：Activation discovery with FDR control Application to fMRI data

报 告 人：王兆军（南开大学统计与数据科学学院执行院长，教授，博士研究生导师）

报告时间：2022年5月18日  14：00-15：00

报告地点：腾讯会议  ID：562-848-803

校内联系人：张久军

报告摘要：Data arriving in “streams” from a large number of sources is ubiquitous, a portion of which usually incurs structural changes during the time-course of data acquisition. For example, in fMRI analysis, some brain regions become active associated with task-related stimuli or even in resting-states. Such a region corresponds to an activated data stream. We are aiming to measure the uncertainty of discovering data streams in activation via the tool of the false discovery rate (FDR). Borrowing ideas from recent developments of the FDR control methodologies, we propose a simple yet effective method to achieve this purpose meanwhile taking unknown asynchronous change patterns and spatial dependence into consideration. Its validity on controlling the FDR is justified by asymptotic analysis. Numerical experiments indicate that the proposed method is both accurate and powerful. It is also applied in a real fMRI data analysis. A R package SLIP is developed to implement the proposed method.

 

报告人简介：

王兆军，南开大学统计与数据科学学院执行院长，教授，博士研究生导师，“长江学者”特聘教授，国务院学位委员会第七、第八届学科评议组成员(统计学)，天津市工业与应用数学学会理事长，全国百篇优博指导教师。《数理统计与管理》副主编、《Statistical Theory and Related Fields》编委、《数学进展》编委、《 统计信息论坛》编委。主持国家重点研发计划项目、国家自然科学基金重点项目、面上项目等十余项，发表论文近百篇。