Prerequisite: Level II Statistics and 01:640:152
Generally offered fall semester only.
Principles of Bayesian data analysis and application of them to varied data analysis problems. Topics include: Bayes Theorem, linear and nonlinear models, hierarchical models, and the use of Markov chain Monte Carlo methods.