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This is the preliminary program for the 2008 Joint Statistical
Meetings in Denver, Colorado.
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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 2008 Program page |
= Applied Session,
= Theme Session,
= Presenter|
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| CE_23C | Tue, 8/5/08, 8:30 AM - 5:00 PM | CC-201 |
| Bayesian Methods and Software for Data Analysis - Continuing Education - Course | ||
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ASA, Section on Bayesian Statistical Science |
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| Instructor(s): Bradley P. Carlin, The University of Minnesota, Thomas A. Louis, Johns Hopkins University | ||
| This course will introduce hierarchical and empirical Bayes methods, demonstrate their usefulness in challenging applied settings, and show how they can be implemented using modern Markov chain Monte Carlo (MCMC) computational methods. We will provide an introduction to and live demonstration of WinBUGS, the most general Bayesian software package available to date, and BRugs, a convenient function for calling BUGS from R. Use of the methods will be demonstrated in advanced high-dimensional model settings (e.g., nonlinear longitudinal modeling or spatiotemporal estimation and mapping), where the MCMC Bayesian approach often provides the only feasible alternative incorporating all relevant model features. Participants should have an MS (or advanced undergraduate) understanding of mathematical statistics at the Hogg and Craig (1978) or Casella and Berger (2001) level. Basic familiarity with common statistical models (e.g., the linear regression model) and computing will be assumed, but we will not assume significant previous exposure to Bayesian methods or Bayesian computing. This course is aimed at students and practicing statisticians who are intrigued by all the fuss about Bayes and Gibbs, but who may still mistrust the approach as theoretically mysterious and practically cumbersome. | ||
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JSM 2008
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. |