BIOS 9233

Bayesian Statistics II: 3-0-3

This course is a continuation of Bayesian Statistics I. In this course the student will study data collection and design of Bayesian analyses, including ignorability issues, Normal linear regression under the Bayesian paradigm, Markov Chain Monte Carlo methods, including the Gibbs sampler and Metropolis-Hastings algorithms, model checking and sensitivity analysis for model robustness, and Bayesian generalized linear models. Prerequisite: A minimum grade of "B" in BIOS 9231.