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Dec 27, 2024
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2021-2022 Graduate Course Catalog [ARCHIVED CATALOG]
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MAT 529 - Introduction to Bayesian StatisticsIntroduction to Bayesian Statistics
3 credit(s) Irregularly
Concepts of prior and posterior, Bayesian inference for binomial and Poisson distributions, Monte Carlo approximation, Bayesian inference for normal distribution, Gibbs sampling, hierarchical models, multivariate normal distribution, Metropolis-Hastings algorithms, linear regression models.
PREREQ: MAT 296, MAT 331, MAT 422, and MAT 525
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