Bayesian Inference and Modern Statistical Methods

Principles of data analysis and advanced statistical modeling. Bayesian inference, prior and posterior distributions, multi-level models, model checking and selection, stochastic simulation by Markov Chain Monte Carlo. Prerequisite: STA 221 and (STA 230, 231, 240L, or MATH 231) and (MATH 202, 202D, 212, 219, or 222) and (MATH 216, 218, or 221).