Course Topics

We’ll discuss some basic concepts and vocabulary in Bayesian statistics such as the likelihood, prior and posterior distributions, and how they relate to Bayes’ Rule. R statistical software will be used to discuss how parameter estimation and inference changes in a Bayesian paradigm versus in a classical paradigm, with a particular focus on applications using regression.

Before you show up:

Everyone that is not familiar with R should try to attend Sai's "Introduction to R" (February 28 or March 1) course this semster or watch the video for, and/or review my notes from my short-course from Fall 2010 on R.

Everyone that is not familiar with regression should try to attend Jennifer's short-course this semester.
Review any notes you may have on the basic rules of probability.