STAT 4346 Introduction to Bayesian Inference
This course is designed to introduce the students to Bayesian data analysis. The topics to be covered include. Examples of current application of the Bayesian
inferential framework. The fundamentals: prior, likelihood, posterior. Exponential families and conjugate priors. Invariance, non-informative priors. How to explore
the posterior: numerical integration? Examples of MCMC; empirical Bayes; applications.