JSM Activity #CE2003_06C

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Legend: = Applied Session, = Theme Session, = Presenter
Hotels: H = Hilton San Francisco, R = Reniassance Parc Hotel 55, N = Nikko San Francisco
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CE2003_06C Sun, 8/3/03, 8:00 AM - 4:00 PM N-Nikko Ballroom I
An Introduction to Applied Bayesian Methods - Continuing Ed
ASA, Section on Bayesian Stat. Sciences
Instructor(s): Michael D. Escobar, University of Toronto
In the last decade there has been a breakthrough in Bayesian computational methods. Previously, most Bayesian analyses were restricted to simple, limited applications. With the development of Markov Chain Monte Carlo (MCMC) methods, Bayesian inference has become an important applied technique and has been able to handle complex problems. In fact, some problems are now easier to compute with Bayesian methods than with frequentist methods. The purpose of this course is to introduce applied Bayesian methods to a wide audience. The basic Bayesian philosophy will be discussed and the underlying principles of the MCMC algorithm will be explained. From there, this course will show how to compute and make inferences on complex data problems using these methods. This is course aimed at the typical applied data analyst who is proficient with modern statistical packages. This course does not assume or use any advanced mathematical statistics or calculus. The mathematical level of this course is at the level of an applied statistics course such as Weisberg's Applied Linear Regression or Hosmer and Lemeshow's Applied Logistic Regression. As such, this course is appropriate for quantitative scientist such as epidemiologist or psychologist who analyses their own data or for the applied statistician who wishes to learn the basics of these new applied Bayesian methods. Fees: M- $325 ($430 after July 18), NM- $415 ($520 after July 18), SM- $200 ($325 after July 18)
 

JSM 2003 For information, contact meetings@amstat.org or phone (703) 684-1221. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2003