Aug 03, 2021  
Catalogue 2021-2022 
    
Catalogue 2021-2022
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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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