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This is the preliminary program for the 2006 Joint Statistical
Meetings in Seattle, Washington.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2006 Program page |
= Applied Session,
= Theme Session,
= Presenter, Sheraton Seattle Hotel & Towers = “S”| CE_12C | Sun, 8/6/06, 8:30 AM - 5:00 PM | CC-304 |
| Hierarchical Bayes Methods and Software for Data Analysis (Course FULL) - Continuing Education - Course | ||
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The ASA, Section on Bayesian Statistical Science |
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| Instructor(s): Bradley P. Carlin, University of Minnesota, Thomas A. Louis, Johns Hopkins University | ||
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This course introduces hierarchical and empirical Bayes methods, demonstrates their usefulness in challenging applied settings, and shows how they can be implemented using modern Markov chain Monte Carlo (MCMC) computational methods. We also will provide an introduction to WinBUGS. Use of the methods will be demonstrated in advanced, high-dimensional model settings. Participants should have an MS (or advanced undergraduate) understanding of mathematical statistics. Basic familiarity with common statistical models and computing will be assumed, but we will not assume any significant previous exposure to Bayesian methods or computing. The course generally is aimed at students and practicing statisticians who are intrigued by Bayes and Gibbs, but who may mistrust the approach as theoretically mysterious and practically cumbersome.
RECOMMENDED TEXTBOOK: Carlin, B.P. and Louis, T.A. (2000). Bayes and Empirical Bayes Methods for Data Analysis, 2nd ed. Chapman and Hall/CRC Press. ISBN: 1584881704. Course attendees are expected to be familiar with the topic at the level of: |
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JSM 2006
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |