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：伟易博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.
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