STAT 4219: Bayesian Data Analysis
(Dual-listed with STAT 5219).
Credits: 3. Contact Hours: Lecture 2, Laboratory 2.
Prereq: (STAT 3010, STAT 3260, or STAT 5101); (STAT 3410, STAT 3470, or 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. Graduation Restriction: May not be used for graduate credit in the Statistics MS and PhD degree programs.
(Typically Offered: Spring)