STAT 5636 - Bayesian Data Analysis

Credit Hours: 3 Lecture: 3 Lab: 0

Fee Type: Special
Fee ($): 40
The objective of this course is to introduce the main concepts in Bayesian philosophy and broaden statistical thinking. Topics include Bayesian vs frequentist thinking, Bayes theorem, conjugate and non-conjugate priors, grid-based simulations, MCMC simulations, Gibbs and Metropolis-Hastings algorithms, linear models and hypothesis tests.