göBayes is a new reading group on Bayesian statistical methods and computation. The purpose of this group is to gather around noteworthy papers, discuss them and hopefully meet interesting people :-)
Our meetings will be held tentatively every three weeks on Tuesdays 9.00-10.15 (during September-October, and weekday will change after October).
The idea is to meet first thing in the morning before heading to work. The location alternates between the department of Computer Science and Engineering (Lindholmen campus) and the department of Mathematical Sciences (Johanneberg campus).
Everyone is welcome to attend (you do not need to have read the paper in order to participate, though that's useful!). Notice, topics are chosen according to the interests of the organizers, and it is assumed some knowledge of Bayesian statistics and computational (Monte Carlo) methods.
to our mailing list
to keep up to date! (any mail address can be provided, not necessarily gmail).
Interested in giving a talk on a notable paper? Send your suggestions for consideration to picchini (at) chalmers.se (maths dept) or richard.torkar (at) cse.gu.se (CSE dept)
- Date: 1 October 2019, 9.00-10.15
Presented by: Richard Torkar (division Software Engineering, Chalmers/GU)
- Date: 10 September 2019, 9.00-10.15
Paper: Fasiolo et al. "A comparison of inferential methods for highly nonlinear state-space models". https://arxiv.org/abs/1411.4564
Why this paper: it is a nice, approachable review on some inference
methods for stochastic dynamical models (state-space models here). Some
of the considered methods work also for non-state space models. It is a
good opportunity to look at inferential possibilities based on
plug-and-play approaches that are becoming more and more standard.