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学术报告九十三:Regression Analysis of Multivariate Current Status Data with Semiparametric Transformation Frailty Models

时间:2020-11-11 10:13

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数学与统计学院学术报告[2020] 093

(高水平大学建设系列报告446)

 

报告题目:  Regression Analysis of Multivariate Current Status Data with Semiparametric Transformation Frailty Models

报告人:胡涛教授(首都师范大学

报告时间:20201117日周二下午14:00-15:00               

报告地点:腾讯会议 会议号码:281528334                 

报告内容: This study investigates regression analysis of multivariate current status data using a class of flexible semiparametric transformation frailty models. The maximum likelihood estimation procedure is derived for the problem. In particular, a novel EM algorithm, which is quite stable and can be easily implemented, is developed. In addition, the asymptotic properties of the resulting estimators are established, and a numerical study indicates that the proposed methodology works well in practical situations. An application is provided to llustrate the proposed method.

报告人简历:  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。在国内外学术刊物Journal of the American Statistical AssociationBiometrikaRenewable EnergyEnergy Conversion and Management、中国科学:数学等上发表学术论文多篇。


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