Mar 28, 2024  
Catalogue 2020-2021 
    
Catalogue 2020-2021 [ARCHIVED CATALOG]

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MATH 347 - Bayesian Statistics

Semester Offered: Fall
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. The Department.

Prerequisite(s): MATH 220 , MATH 221  and MATH 241 .

Course Format: CLS



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