報告題目：Regression analysis of mixed panel count data with dependent observation processes
報 告 人：趙慧 教授 中南财經政法大學統計與伟德线上平台
報告時間：2023年6月28日 14：30-15：30
報告地點：騰訊會議 ID：790426606
校内聯系人：王培潔 wangpeijie@jlu.edu.cn
報告摘要：Event history data commonly occur in many areas and a great deal of literature on their analysis has been established. However, most of the existing methods apply only to a single type of event history data. Recently, several authors have discussed the analysis of mixed types of event history data and the existence of dependent observation processes is another issue that one often has to deal with in the analysis of event history data. This paper discusses regression analysis of mixed panel count data with dependent observation processes, which has not been addressed in the literature, and for the problem, an approximate likelihood estimation approach is proposed. For the implementation, an EM algorithm is developed and the proposed estimators are shown to be consistent and asymptotically normal. An extensive simulation study is performed to assess the performance of the proposed approach and indicates that it works well in practical situations. An application to a set of real data is provided.
報告人簡介：趙慧，中南财經政法大學統計與伟德线上平台教授，博士生導師。2005年北京大學博士畢業，先後在中科院系統所和美國密蘇裡大學從事博士後研究。曾擔任中國現場統計研究會理事，湖北省現場統計學會常務理事，中國現場統計研究會多個分會理事。先後主持3個國家自然科學基金項目,并在 JASA, Biometrics, Scandinavian Journal of Statistics，Statistic in Medicine，Journal of Multivariate Analysis，Lifetime Data Analysis， Canadian Journal of Statistics，Journal of Nonparametric Statistics，《中國科學》,《數理統計與管理》等國内外知名統計學術期刊發表論文五十餘篇。主要研究方向為：生存分析；複發事件數據分析；變量選擇，圖模型與因果推斷等。
