PSTAT 215A
Bayesian Inference
University of California Santa Barbara · UGRD · Fall 2026
1 section
Catalog 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.
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001
Availability not recently verifiedClass #california_santa_barbara-9461Fall 2026UGRD
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