日時 2009年06月16日(火) 15時~16時40分 場所 経済学部新棟3階第3教室 講演者 Tapabrata Maiti (Department of Statistics & Probability, Michigan State University) 演題 Mean Squared Prediction Error Estimation in Mixed Models 概要 Mixed models are widely used for analyzing clustered data. For example, they are often applied to epidemiology, medicine, econometrics and sample surveys. Prediction is usually the main goal of such analyses, and mean squared prediction error is the main way in which prediction performance is measured. In this talk we will discuss some issues on analytic approaches and will mention the newly developed parametric bootstrap techniques of mean squared prediction error estimation.