Stan is a high performance probabilistic programming language for Bayesian inference. It is used for statistical modeling in climate science, clinical drug trials, genomics and cancer biology, population dynamics, psycholinguistics, social networks, finance and econometrics, professional sports, publishing, recommender systems, educational testing, and many more. A collection of example models have been prepared by the Stan Development Team.

We formed Stan Group to help companies and individuals adopt Stan for their analytical work and are currently offering:

If you are interested in learning more, please contact us at askus@stan.fit. If you are in the New York area, join us at our Bayesian Data Analysis meetups.