STAT 910 - Bayesian Statistics

This is an in-depth and rigorous course on Bayesian methods for statistical analysis and inference. Topics include fundamentals of Bayesian reasoning: prior and posterior distributions, Bayesian decision theory; Bayesian point and interval estimation, hypothesis testing, model selection, predictive distributions, large sample theory; and Bayesian approaches to topics such as regression, hierarchical models, high-dimensional problems, nonparametrics, latent variable modelling and computational techniques.