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).

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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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