【主题】Testing and Estimation of Social Network Dependence with Time to Event Data

【报告人】Wenbin Lu, 教授

North Carolina State University

【时间】 2019年7月11日（星期四）10:00-11:00

【地点】上海财经大学统计与管理学院大楼1208会议室

【摘要】Studying social network dependence is an emerging research area. In this talk, I will introduce two models for studying social network dependence with time-to-event data. First, I will present a latent Cox model with contextual effects, which models the susceptibility of a user to the influence of his or her friends. Both testing and estimation of the social network dependence will be discussed. Second, I will present a class of conditional survival models for studying the contagion-based social network dependence. The associated nonparametric maximum likelihood estimation will be discussed. Simulations and applications to a mobile game data will be presented to demonstrate the performance of the proposed methods.

【嘉宾简介】Dr. Wenbin Lu is the Professor of Department of Statistics, North Carolina State University. His research interests include Biostatistics，High Dimensional Data Analysis and Machine and Reinforcement Learning, et al.

【主持人】黄涛