Bayesian Statistics João P. Faria Data don't speak for themselves. Bayesian statistics is rising in popularity in the astrophysical literature. It is no longer a debate: "work in Bayesian statistics now focuses on applications, computations, and models. Philosophical debates [...] are fading to the background" (Bayesian Data Analysis, Gelman et al.). This is happening for two main reasons: faster computers and more complex models. In order to keep up, it is important to understand the fundamentals of Bayesian statistics, but it is as important to know how to deal with data analysis applications. In this course I want to provide a brief introduction to advanced concepts in Bayesian statistics. Emphasis will be on "intuition" and "computation". No coin tossing, only real applications that relate to our day-to-day problems. Plan for the course
Session 1: Theory part 15 February 2016 Open to everyone. Session 2: Hands-on tutorial 17 February 2016 Limited attendance, subject to registration. Session 3: Hands-on tutorial 18 February 2016 Limited attendance, subject to registration. |