Training Course Details

Principled Bayesian Workflow – Michael Betancourt

Course Level: Advanced

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

Online | February 15, 2021

£245.00 ex VAT per person
Venue Details:
February 15, 2021
10:00 EST - 12:00 EST or 15:00 EST - 17:00 EST
2 hours
This module is $325.00 (roughly £245.00). In addition, there is a follow-up review session on Thursday 18th February. More details can be found via the booking site.
Book now  Ask For More Details About This Course

*Booking handled by 3rd party

Course Details

Prior Knowledge

In regards to Stan experience, attending the following courses would be of great benefit:

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

Attendee Feedback

“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