This year, we’re bringing back StanCon in person!
StanCon is an opportunity for members of the broader Stan community to come together and discuss applications of Stan, recent developments in Bayesian modeling, and (most importantly perhaps) unsolved problems. The conference attracts field practitioners, software developers, and researchers working on methods and theory. This year’s conference will take place on June 20 – 23 at Washington University in St Louis, Missouri.
The keynote speakers are:
- Bob Carpenter (Flatiron Institute)
- John Kruschke (Indiana University)
- Mariel Finucane (Mathematica Policy Research)
- Siddhartha Chib (Washington University in St. Louis)
Proposals for talks, sessions and tutorials are due on March 31st (though it looks like we’ll be able to extend the deadline). Posters are accepted on a rolling basis. From the website:
We are interested in a broad range of topics relevant to the Stan community, including:
- Applications of Bayesian statistics using Stan in all domains
- Software development to support or complement the Stan ecosystem
- Methods for Bayesian modeling, relevant to a broad range of users
- Theoretical insights on common Bayesian methods and models
- Visualization techniques
- Tools for teaching Bayesian modeling
Keep in mind that StanCon brings together a diverse audience. Material which focuses on an application should introduce the problem to non-field experts; theoretical insights should be linked to problems modelers are working on, etc.
Charles:
That looks great! There’s so much going on, not just with Stan but with probabilistic programming more generally. And Stan’s open environment means that advances in computation, modeling, and workflow developed within Stan can quickly be adapted in other languages.