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One World Approximate Bayesian Computation (ABC) Seminar

Inspired by the "One World Probability Seminar", in April 2020 we decided to run the One World Approximate Bayesian Computation (ABC) Seminar, a 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.

Season 2 -- 2020/2021

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

Date Speaker Title Abstract Slides Video
15.10.2020 TBA        
01.10.2020 Marko Järvenpää Batch simulations and uncertainty quantification in Gaussian process surrogate ABC Abstract    
17.09.2020 Flora Jay and Théophile Sanchez Deep learning for population size history inference: design, comparison and combination with approximate Bayesian computation Abstract Slides Recorded talk

Pierre-Alexandre Mattei and Samuel Wiqvist 

Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation Abstract Slides Recorded talk

    Season 1 -- 2020

    Date Speakers Title Abstract Slides Video


    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