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关于北京工业大学薛留根教授来我院讲学的公告

发布日期:2018-12-21     作者: admin     浏览数:    分享到:

报告题目:Generalized empirical likelihood inference in partial linear regression model for longitudinal data

 

报告人:北京工业大学薛留根教授

报告时间:2018年12月27日   9:00-12:00

报告地点:数学与统计学院310会议室

 

报告内容摘要:In this talk, empirical likelihood inference for longitudinal data within the framework of partial linear regression models are investigated. The proposed procedures take into consideration the correlation within groups without involving direct estimation of nuisance parameters in the correlation matrix. The empirical likelihood method is used to estimate the regression coefficients and the baseline function, and to construct confidence intervals. A nonparametric version of Wilk’s theorem for the limiting distribution of the empirical likelihood ratio is derived. Compared with methods based on normal approximations, the empirical likelihood does not require consistent estimators for the asymptotic variance and bias. The finite sample behaviour of the proposed method is evaluated with simulation and illustrated with an AIDS clinical trial data set.

报告人简介:北京工业大学应用数理学院教授,统计学博士生导师,北京工业大学统计学一级学科博士点负责人。主要学术兼职有:中国现场统计研究会理事及生存分析分会副理事长,全国工业统计学教学研究会理事等。主持完成和在研的国家和省部级科研项目15项出版著作8部(独著6部),其中3部专著。在Journal of the American Statistical Association》Journal of the Royal Statistical Society,Series B》、The Annals of Statistics》、Biometrika》等国内外学术期刊上发表学术论文200余篇,其中2篇属高被引论文获教育部自然科学二等奖1项,获全国统计科学研究优秀成果奖一等奖和二等奖各1项。

 

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