Statistics 4860/6860: Description

In this course will will introduce the Bayesian approach to Statistical Inference. 

• Bayes' Theorem will be reviewed. 
• The concept of a prior distribution will be introduced.
• Posterior distribution calculations via proportional calculations from the likelihood and prior distribution.
• MCMC methods will be presented (Gibbs Sampling).
• WinBUGS will be used along with some R programs to implement the methods.
• Topics will be covered from many standard and non-standard statistical problems from a Bayesian perspective.