MAT 529 - Introduction to Bayesian Statistics

Introduction to Bayesian Statistics
3 credit(s) Irregularly

Concepts of prior and posterior, Bayesian inference for binomial and Poisson distributions, Monte Carlo approximation, Bayesian inference for normal distribution, Gibbs sampling, hierarchical models, multivariate normal distribution, Metropolis-Hastings algorithms, linear regression models.
PREREQ MAT 296, MAT 331, MAT 422, and MAT 525