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数学学院、所2021年系列学术活动(第142场):胡涛 教授 首都师范大学

发表于: 2021-10-27   点击: 

报告题目:Variable Selection for Generalized Odds Rate Mixture Cure Models with Interval-Censored Failure Time Data

报 告 人:胡涛 教授 首都师范大学

报告时间:2021年10月28日 上午 11:00-12:00

报告地点:腾讯会议  ID:875 622 657

或点击链接直接加入会议:https://meeting.tencent.com/dm/af8zcvkUahv0

校内联系人:赵世舜 zhaoss@jlu.edu.cn


报告摘要:Variable selection for failure time data with a cured fraction has been discussed by many authors but most of existing methods apply only to right-censored failure time data. In this paper, we consider variable selection when one faces interval-censored failure time data arising from a general class of generalized odds rate mixture cure models, and we propose a penalized variable selection method by maximizing a derived penalized likelihood function. In the method, the sieve approach is employed to approximate the unknown function, and it is implemented using a novel penalized expectation–maximization (EM) algorithm. Also the asymptotic properties of the proposed estimators of regression parameters, including the oracle property, are obtained. Furthermore, a simulation study is conducted to assess the finite sample performance of the proposed method, and the results indicate that it works well in practice. Finally, the approach is applied to a set of real data on childhood mortality taken from the Nigeria Demographic and Health Survey.


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、风能数据分析。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。