STAT 5219: Bayesian Data Analysis
(Dual-listed with STAT 4219).
Credits: 3. Contact Hours: Lecture 2, Laboratory 2.
Prereq: STAT 5101 and STAT 5147
Probability models and prior distributions; updating priors through the likelihood function. Computational and simulation-based methods for deriving posterior distributions and for estimating parameters. Basic statistical and hierarchical models. Model adequacy and posterior predictive checks. Markov Chain Monte Carlo methods and introduction to JAGS and STAN or similar software. Emphasis on applications and examples from the social, biological and physical sciences.
(Typically Offered: Spring)