PSTAT215A
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PSTAT 215A - Bayesian Inference
Full Course Title
Bayesian Inference
Instructor Name(s)
STAFF
Course Description
Fundamentals of the Bayesian inference, including the likelihood principle, the discrete version of Bayes theorem, prior and posterior distributions, Bayesian point and interval estimations, and predictions. Bayesian computational methods such as Laplacian approximations andMarkov Chain Monte Carlo (MCMC) simulation.
Unit Value
4
Maximum number of times course can be repeated for additional credit
99
Maximum Units
99