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Introduction to Bayesian Modeling

STAT 477 / 577 (3)

An introduction to Bayesian methodology and applications. Topics covered include: probability review, Bayes’ theorem, prior elicitation, Markov chain Monte Carlo techniques. The free software programs WinBUGS and R will be used for data analysis.

Prerequisite: 461 and (427 or 440)

{Alternate Springs}

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Prerequisites / Corequisites

Probability - STAT 461 / 561

Advanced Data Analysis I - STAT 427 / 527

Regression Analysis - STAT 440 / 540

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