LISA (Laboratory for Interdisciplinary Statistical Analysis) provided a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses was on teaching practical statistical techniques for analyzing or collecting data.
March 14 & 15, 2011
Bayesian Methods for Regression in R
Instructor: Nels Johnson
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.
Please visit this course's webpage for course files (http://www.lisa.stat.vt.edu/?q=node/1784). You will need these files if you wish to follow along during the course.