Introduction to Bayesian Modeling

(2 Credits)

Provides practical introduction to Bayesian modeling, including data analysis and building models within the Bayesian framework, with special emphasis on hierarchical models. Primary emphasis on understanding modeling concepts and modeling processes, and analyses using R and BUGS; lesser emphasis on theoretical aspects of Bayesian statistics and technical details of Markov Chain Monte Carlo methods.