STAT 5380 - Bayesian Data Analysis

Credits: 3
Max Credit: 3

Bayesian statistical methods for analyzing various kinds of data. Topics include basic Bayesian ideas and model formulation (priors, posteriors, likelihoods), single- and multiple-parameter models, hierarchical models, generalized linear models, multivariate models, survival models and an introduction to computation methods.

Prerequisite: Grade of B or better in STAT 5265 and B or better in one of the following: STAT 5015 or STAT 5025 or STAT 5045