STAT 6450 - Bayesian Statistical Analysis

Bayesian statistical techniques play a pivotal role in applied research today. Topics include various loss functions and optimal estimators, Bayes factor, hierarchical models, Markov Chain Monte Carlo simulation, robust Bayesian analysis, and non-parametric and semi-parametric Bayesian methods. This course will emphasize the theory of Bayesian statistics.

Prerequisites/Corequisites: Prerequisite: STAT 6600 with a grade of “B” or better, or instructor approval.

Credits: 3 hours

Notes: Open to graduate students only.