Full day Stan tutorial at Modern Modeling Methods (M3) this summer in New York (22 June 2026)

This post is from Bob Mitzi Morris and Bob Carpenter, two of Stan’s developers, will be presenting a tutorial on Stan and Bayesian data analysis aimed at psychometricians this summer. Modern Modeling Methods Conference (M3), Fordham University Lincoln Center Campus, Manhattan, June 22–24 Program here Abstract This workshop is a full day, hands-on introduction to Bayesian modeling and statistical inference using the probabilistic programming language Stan. The course will be organized around the key properties of Bayesian statistical modeling for science, including the nature of uncertainty, modeling a generative process through a data generating distribution, modeling existing knowledge through a prior, and pushing uncertainty through inference. As we do this, we will show how Stan can be used to both code the models and perform statistical inference for quantities of interest, be they retrospective parameter estimates or prospective predictions or forecasts. We will concentrate on…