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STAT 5740: Introduction to Bayesian Data Analysis

(Dual-listed with STAT 4740).
Credits: 3. Contact Hours: Lecture 2, Laboratory 2.

Prereq: STAT 5870 and STAT 5880
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. Graduation Restriction: Credit for only one of STAT 4440, STAT 4740, or STAT 5740 may be applied to graduation. May not be used for graduate credit in the Statistics MS and PhD degree programs. (Typically Offered: Spring)