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Nov 26, 2024
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BZAN 625 - Bayesian Modeling and Computations3 Credit Hours
Bayes theorem, prior and posterior distributions, inference methods such as posterior means and HPD regions, Monte Carlo inference including Gibbs sampling, the Metropolis-Hastings algorithm, and importance sampling. Bayesian analysis of linear and non-linear regression models, model selection using Bayes factors. Predictive inference based on posterior distributions, and selected applications drawn from business and scientific settings.
Cross-listed: (Same as Statistics 625.)
(RE) Prerequisite(s): 615 or Statistics 615.
Registration Restriction(s): Minimum student level – graduate.
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