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Stan Webinar, Stan Classes, and StanCon

This post is by Eric. We have a number of Stan related events in the pipeline. On 22 Nov, Ben Goodrich and I will be holding a free webinar called Introduction to Bayesian Computation Using the rstanarm R Package. Here is the abstract: The goal of the rstanarm package is to make it easier to use Bayesian […]

Webinar: Introduction to Bayesian Data Analysis and Stan

This post is by Eric. We are starting a series of free webinars about Stan, Bayesian inference, decision theory, and model building. The first webinar will be held on Tuesday, October 25 at 11:00 AM EDT. You can register here. Stan is a free and open-source probabilistic programming language and Bayesian inference engine. In this […]

Bayesian Inference with Stan for Pharmacometrics Class

Bob Carpenter, Daniel Lee, and Michael Betancourt will be teaching the 3-day class starting on 19 September in Paris. Following is the outline for the course: Day 1 Introduction to Bayesian statistics Likelihood / sampling distributions Priors, Posteriors via Bayes’s rule Posterior expectations and quantiles Events as expectations of indicator functions Introduction to Stan Basic […]

Stan talk in Seattle on Tuesday, May 17

I (Eric) will be giving a Stan talk at the Seattle useR Group next week. Daniel Lee and Ben Goodrich will be there as well. If you are in the Seattle area on Tuesday, please stop by and say hello. Thanks to Zach Stednick for organizing this meetup.

Stan Talk in NYC: Macroeconomic Forecasting using Analogy Weighting

This post is by Eric. The next Stan meetup is coming up in February. It will be hosted by the New York Bayesian Data Analysis Meetup group and International Securities Exchange. The BDA group was formerly called Stan Users – NYC. We will still be focusing on Stan, but we would also like to open it up […]