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STAT 444: Bayesian Data Analysis

(2-2) Cr. 3. S.

Prereq: STAT 301 or STAT 326 or STAT 401; STAT 342 or STAT 447.
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 WinBUGS or similar software. Emphasis on applications and examples from the social, biological and physical sciences.