Principled Bayesian Workflow – Michael Betancourt
We are very happy to announce that following "Jumping Rivers: Bayesian Inference using Stan", Michael Betancourt, a core developer of Stan, is running a series of 5 modules for principled statistical modelling with Stan. The modules will take place between Monday 15th February, 2021, and Thursday March 18th, 2021! Michael Betancourt is a research scientist with Symplectomorphic, LLC where he develops theoretical and methodological tools to support practical Bayesian inference. Being a core developer of Stan, he implements and tests these tools on a daily basis.
In this module we review a principled Bayesian workflow that guides the development of statistical models suited to the particular details of a given application. The workflow integrates the development of prior models, computational calibration, inferential calibration, and model critique and model updating.
For full event information and booking details, please visit https://events.eventzilla.net/e/principled-statistical-modeling-with-stan-2138789122
Online | February 15, 2021
In regards to Stan experience, attending the following courses would be of great benefit:
- Introduction to Bayesian Inference
- Introduction to Bayesian Inference using RStan or Introduction to Bayesian Inference using PyStan (both include Introduction to Bayesian Inference)
As mentioned, the course is aimed at current Stan users and will assume familiarity with the basics of calculus, linear algebra, probability theory, probabilistic modeling and statistical inference, and Stan.
Attendees are strongly encouraged to review
“We had a brilliant 3-day course at trivago with Michael Betancourt! The first day was filled with a very strong theoretical foundation for statistical modelling/decision making, followed by a crash course on MCMC and finished off with practical examples on how to diagnose healthy model fitting. In the 2nd and 3rd days we learned about many different types of hierarchical/multi-level models and spent most of the time practicing how to actually create and fit these models in Stan.
Michael is both a very engaging teacher, a very knowledgeable statistical modeller and, of course, a Stan master. This course has opened up new ways for us at trivago to gain better insights from our data through Stan models that fit our needs.”
-Data Scientists in the Automated Bidding Team, trivago