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).
Probability - STAT 461 / 561
Advanced Data Analysis I - STAT 427 / 527
Regression Analysis - STAT 440 / 540