BIOS 6310 - Applied Bayesian Methods

[3 Credits]

Three hours of lecture per week. Introduction to Bayesian approach to statistical inference. Application orientated, but such theory as is necessary for a proper understanding of the Bayesian methodology will be covered. 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. Prerequisite: BIOS 6102 (or BIOS 6202), BIOS 6206, BIOS 6300, or permission of the instructor.