MATH 347 - Bayesian Statistics

Semester Offered: Fall or Spring
1 unit(s)

An introduction to Bayesian statistics. Topics include Bayes Theorem, common prior and posterior distributions, hierarchical models, Bayesian linear regression, latent variable models, and Markov chain Monte Carlo methods. The course uses R extensively for simulations.

Prerequisite(s): AP credit in statistics, MATH 141 or MATH 240; MATH 220, MATH 221, and MATH 241.

Course Format: CLS