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Dec 26, 2024
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MATH 457 - Bayesian Statistics Introduction to Bayesian inference; prior and posterior distributions; conjugate priors; statistical inference, including summarizing posterior information and making predictions; hierachical and linear regression models. Monte Carlo methods including Gibbs sampling.
Prerequisites & Notes: MATH 342 and MATH 442; or instructor permission. Credits: 4 Grade Mode: Letter
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