Here’s the announcement:
Solving Statistics Problems Using Stan
Stan is a free and open-source probabilistic programming language and Bayesian inference engine. In this talk, we demonstrate the use of Stan for some small fun problems and then discuss some open problems in Stan and in Bayesian computation and Bayesian inference more generally.
It’s next Tues, 20 Sept, 2pm, at the CUNY Graduate Center, 365 Fifth Avenue (at 34th Street), room to be announced.
You can register for it here.
The link is broken, is registration closed?
This sounds like a great intro talk to Stan for those of us who have been reading about it here, but haven’t taken the plunge. Since registration is full, how about a streaming option?
Frank:
I’ll be giving it 3 days later in Ann Arbor, I think, so that’s another option for you!
Andrew:
Are there slides / material you could post?
Thanks. Ann Arbor is a little closer to me, but still a few thousand miles too far. Isn’t the internet supposed to be the end of geography?!
American Statistical Association has a 2 hour webinar 6 October “Introduction to Stan – From Logistic Regression to PK/PD ODE Models” run by Sebastian Weber. Don’t know what it’s like – perhaps Andrew wants to comment?
Not free ($59), unless ASA Biopharmaceuticals section member. Just search for webinars on ASA site.
I’m curious, does STAN handle joint modeling of longitudinal and survival data? This is an active research area where Bayesian inference via MCMC is particularly useful, and for some problems is the only viable option. See the R package JMbayes for more details
Gail:
Sure, it should be no problem at all to fi\t such models in Stan.