时 间：2023年5月22日14：00-15：00
地 点：腾讯会议ID：607-984-249 密码：1309
报告人：胡涛 首都师范大学 教授
主持人：刘玉坤 华东师范大学 教授
摘 要：
This paper discusses the goodness‐of‐fit test of semiparametric copula models when one faces bivariate interval‐censored failure time data, which often occur in many areas including epidemiological and medical studies as well as social science experiments. For the problem, three test statistics or procedures are proposed, two based on the pseudo in‐andout‐sample approach and the third based on the information ratio criterion. The asymptotic properties of the proposed test procedures are established and in particular, the three methods are shown to be asymptotically equivalent. To assess the empirical performance of the proposed methods, an extensive simulation study is conducted and indicates that they work well in practical situations. An application to a Signal‐Tandmobiel study is provided.
报告人简介：
胡涛，首都师范大学数学科学学院教授，博士生导师。研究方向：生存分析、应用统计。2009年毕业于北京师范大学数学科学学院，获概率论与数理统计专业博士学位。美国University of Missouri 统计系博士后。在国内外学术刊物Journal of the American Statistical Association、Biometrika、Renewable Energy、Energy Conversion and Management、中国科学：数学等上发表学术论文多篇。