题 目：Empirical Likelihood, Censored Data and Logistic Regression

报告人：Prof.Jian-Jian Ren

Department of Mathematics & Department of Statistics

University of Central Florida, USA

时 间：2008年5月20日（周二）上午10：00

地 点：pg电子模拟器119

Abstract:

In this talk, we will review the concept of parametric likelihood and the maximum likelihood estimator (MLE), and will introduce the concept of nonparametric likelihood (called empirical likelihood) and the nonparametric MLE. Some results on nonparametric likelihood with various types of censored data will be discussed. As an example, some related new statistical methods on the logistic regression model with censored data will be presented.