MATH 555 Bayesian Statistical Methods (3)

Posterior distributions using observed data are calculated and used for inferences about model parameters. Classical statistical methods are compared with the Bayesian methods and classical models such as linear regression, ANOVA, and generalized linear models are extended to include the Bayesian paradigm. Monte Carlo methods, Gibbs sampling and Metropolis-Hastings algorithms.
Prerequisite(s): MATH 530 or equivalent
Course Frequency: Spring
Cross-Listing: MATH 455