(This article was originally published at mages’ blog, and syndicated at StatsBlogs.)
There is a nice pub between Bunhill Fields and the Royal Statistical Society in London: The Artillery Arms. Clearly, the perfect place to bring people together to talk about Bayesian Statistics. Well, that’s what Jon Sedar (@jonsedar, applied.ai) and I thought. Hence, we’d like to organise a Bayesian Mixer Meetup on Friday, 12 February, 19:00. We booked the upstairs function room at the Artillery Arms and if you look outside the window, you can see Thomas Bayes’ grave.
We intend the group to be small (announcing only on the stan user group, pymc-devs gitter, and here for now) and geared to open discussion of Bayesian inference, tools, techniques and theory. Neither of us is a great expert, we’re really just users of the tools, but we’d love to welcome academic discussion as well as real world examples etc.
Jon is more the Python/PyMC guy, while I come from the R/Rstan corner. We will prepare two talks to kick this off. Jon will talk about GLM Robust Regression with Outlier Detection using PyMC3, while I will talk about Experience vs Data with some stories from insurance and actuarial science, sprinkled with RStan examples.
If you would like to join us, please get in touch via the form below, so that we can keep tabs on numbers, and if this goes all well we shall set up a Meetup site.
Please comment on the article here: mages’ blog
Tags: Bayesian, R
Source:: statsblogs.com
