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: (527 or 540) and 561.

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Prerequisites / Corequisites

Advanced Data Analysis I - STAT 527 / 427


Regression Analysis - STAT 540 / 440


Probability - STAT 561 / 461



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