STA 5331 - Bayesian Data Analysis

(4 credits)

Introduction to the Bayesian approach to data analysis and decision making. Model building, priors, likelihoods, posteriors, inference, and Markov Chain Monte Carlo simulation methods. Prerequisite: STA 5113

Prerequisite(s): Student must meet prerequisite (STA 513).

Course revisions made after the Graduate Catalog publication date will be posted in the Graduate Catalog Addendum.