Bayesian Analysis of Random Effect Hierarchical Models with Applications
2013/07/23
研討會日期 : 2013-07-23
時間 : 14:30
主講人 : Professor George C. Tiao
地點 : Conference Room B110
演講者簡介 : George C. Tiao received his Ph.D. in Economics from University of Wisconsin in 1962. He is currently W. Allen Wallis Professor (Emeritus) of Econometrics and Statistics at University of Chicago and Academician of Academia Sinica. His research fields are econometrics and time series analysis.
演講摘要 : This talk presents an expository account of the nature of Bayesian inference, and the mcmc method for the computation of the posterior distributions in hierarchical data framework with application to marketing, atmospheric sciences, and other fields. Special emphasis will be given to a comparison of the fixed effects vs. the random effect analyses. It will be seen that the Bayesian approach provides a powerful tool for efficient use of data information as well as for achieving dimension reduction in the analysis of high dimension data.
