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May 04, 2024
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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. Jingchen Hu, Ming-Wen An.
Prerequisite(s): AP credit in statistics, MATH 141 or MATH 240 ; MATH 220 , MATH 221 , and MATH 241 .
Three 50-minute periods.
Course Format: CLS
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