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Introduction to Bayesian Modeling

STAT 577 / 477 (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: 561 and (527 or 540)

{Alternate Springs}

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Prerequisites / Corequisites

Probability - STAT 561 / 461

Advanced Data Analysis I - STAT **527 / 427

Regression Analysis - STAT 540 / 440

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