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One World Approximate Bayesian Computation (ABC) Seminar

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.

How it works

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.


This is the list of confirmed speakers, which will be continuously updated.

Date Speakers Title Abstract Slides Video


Marko Järvenpää TBA      


Flora Jay TBA      


TBA TBA      


Ruth Baker Multi-fidelity Approximate Bayesian computation Abstract Slides Video


Chris Drovandi Improving Bayesian Synthetic Likelihood via Transformations Abstract Slides Video


Hien Duy Nguyen Approximate Bayesian computation via the energy statistic


Slides Video


Irene Tubikanec Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs Abstract Slides Video


Gael Martin Abstract Slides Video


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

Other One World Seminars