Wednesday February 28, 12:00 PM - 3:00 PM
Workshop A
Stan: A Flexible Open-Source Platform for Bayesian Analysis

Andrew Gelman, Columbia University

Bayesian data analysis offers many advantages, most notably the ability to include prior information and partially pooled data from multiple sources via hierarchical modeling, and an automatic accounting for uncertainty by which inferences may be piped directly into decision analysis. We shall briefly explore the benefits of Bayesian analysis and then demonstrate and explain how Bayesian models may be fit using Stan, an open-source package written in C++ and runnable from R, Stata, Python, and other environments. We will then address questions and discuss the utility of Stan and Bayesian inference and computation more generally.

Show all professional development options?