Feb 21, 2020  
2019-2020 Graduate Catalog 
    
2019-2020 Graduate Catalog

CS 685 - Bayesian Data Analysis


Prerequisite, MATH 361, or equivalent. The main concepts covered in this class include the following: Bayes' theorem and the Bayesian inferential framework (model specification, model fitting, and model checking), computational methods for posterior simulation integration, regression models, hierarchical models, ANOVA, the Gibbs sampler, Markov chain simulations and other numerical methods. (Offered as needed.) 3 credits