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. Not open to students with credit for STA602. Prerequisites: MATH202, MATH216, MATH216D or MATH221, and STA210, STA230, STA250D. One course.