Inspired by the "One World Probability Seminar", we decided to run the One World Approximate Bayesian Computation (ABC) Seminar, a weekly/fortnightly series of seminars that will take place on Blackboard Collaborate on Thursdays at 11.30am [UK time]. The idea is to gather members and disseminate results and innovation during these weeks and months under lockdown.

We will use Blackboard Collaborate, a webinar tool. Neither registration nor attendance list or download will be required. Before the talk, you will find a guest link on the mail sent via the mailing list (see below). Just click on the link and enjoy the webinar. To know how to join a session, testing your setup, reading about the Blackboard Collaborate Etiquette and know what to do in case of problems, click here.

Mailing List

If you are interested in the ABC world seminar and would like to hear from us fortnightly about the announced speaker, title and abstract and, most importantly, be able to join the talk, please register here.

Date	Speakers	Title	Abstract	Slides	Video
16.07.2020	Ruth Baker	Multi-fidelity Approximate Bayesian computation	Abstract
02.07.2020	Chris Drovandi	Improving Bayesian Synthetic Likelihood via Transformations	Abstract	Slides	Video
18.06.2020	Hien Duy Nguyen	Approximate Bayesian computation via the energy statistic	Abstract	Slides	Video
04.06.2020	Irene Tubikanec	Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs	Abstract	Slides	Video
21.05.2020	Gael Martin	Focused Bayesian Prediction	Abstract	Slides	Video
07.05.2020	Umberto Picchini	Stratified sampling and bootstrapping for approximate Bayesian computation	Abstract	Slides	Video
23.04.2020	Ivis Kerama and Richard Everitt	Rare event ABC-SMC^2	Abstract	Slides	Video
09.04.2020	Dennis Prangle	Distilling importance sampling	Abstract	Slides	Video