STA 539

Applied Bayesian Methods

West Chester University of Pennsylvania · UGRD · Fall 2026

1 section
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Review of conditional probability and Bayes' Theorem, conditional distributions and conditional expectations, and likelihood functions; prior and posterior distributions; conjugate priors; credible intervals; Bayes' factors; Bayesian estimation in linear models; predictive analysis; Markov Chain Monte Carlo methods. Use of appropriate technology.

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Class #west_chester_pennsylvania-STA539Fall 2026UGRD3 credits
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