MATH 557 - Bayesian Statistics

Introduction to Bayesian inference; prior and posterior distributions; conjugate priors; statistical inference, including summarizing posterior information and making predictions; hierachical and linear regression models. Monte Carlo methods including Gibbs sampling.

Prerequisites & Notes: MATH 342 and MATH 442 or instructor permission.
Credits: 4
Grade Mode: Letter