2017-2018 Graduate Catalog 
    
    Aug 08, 2020  
2017-2018 Graduate Catalog [ARCHIVED CATALOG]

Add to Portfolio (opens a new window)

BZAN 625 - Bayesian Modeling and Computations

3 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.



Add to Portfolio (opens a new window)