BIOS 6310 - APPLIED BAYESIAN METHODS

[3 Credits]

Three hours of lecture per week. Introduction to Bayesian approach to statistical inference. Application oriented, but such theory will be covered as necessary for proper understanding of Bayesian methodology. Topics covered include Bayesian Inference - prior determination, point and interval estimation, hypothesis testing, prediction, model assessment and model choice; Bayesian Computation - Markov Chain Monte Carlo (MCMC) methods. Gibbs Sampling and extensions; and Bayesian applications on real data sets from the biological or medical fields. Prerequisites: BIOS 6102 (or BIOS 6202), BIOS 6206, BIOS 6300, or permission of the instructor.