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