|
Dec 04, 2024
|
|
|
|
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
Add to Portfolio (opens a new window)
|
|