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: (427 or 440) and 461.

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Prerequisites / Corequisites

Advanced Data Analysis I - STAT 427 / 527


Regression Analysis - STAT 440 / 540


Probability - STAT 461 / 561



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