Bayesian methods

I am very interested in researching computational methods for Bayesian inference. For example approximate Bayesian computation (ABC), Markov chain Monte Carlo (MCMC) and sequential Monte Carlo (aka particle filters) for Bayesian inference. More in general I am interested in likelihood-free inference for models having intractable likelihoods.

These interests are reflected in my publications and my blog posts.

Bayes Nordics

In 2016 I have created Bayes Nordics, a mail list that focusses on Bayesian-related events, activities and job-posts in the European Nordic countries. It is actively maintained and keeps spreading info. Please join in! It’s free!

One World ABC seminars

I am co-organizer of the One World online seminars on Approximate Bayesian Computation.

göBayes reading group

I have created a reading group in Göteborg, to discuss noteworthy Bayesian papers.

Study group in Bayesian methods at Lund University

In 2015-16 I have coordinated a group “to advance the understanding and use of Bayesian methodology for the quantification and communication of uncertainty at Lund University.” We organized many activities and workshops, all available at this page.