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 main concepts in Bayesian philosophy and broaden the statistical thinking. Topics include Bayesian vs frequentist thinking, Bayes theorem, conjugate and nonconjugate priors, grid-based simulations, MCMC simulations, Gibbs and Metropolis-Hastings algorithms, linear models, and hypothesis tests.