MATH 307 Bayesian Statistical Analysis

Bayes' theorem, prior and posterior distributions, likelihood functions, Bayesian data analysis, comparison of Bayesian and classical (frequentist) approaches, introduction to Markov Chain Monte Carlo methods (MCMC), hierarchical modeling and regression Bayesian analysis. A professional statistical software package will be used throughout the course. Prerequisites: MATH 211 or MATH 212 or MATH 305 or ECON 290.