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 and mailing list
All webinars will be held on Zoom, with a link shared on the email sent via the mailing list. So 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.
Season 1 -- 2020
Date | Speakers | Title | Abstract | Slides | Video |
---|---|---|---|---|---|
16.07.2020 |
Ruth Baker | Multi-fidelity Approximate Bayesian computation | Abstract | Slides | Video |
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 | 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 | 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 |
Other One World Seminars
- One World Probability Seminar
- One World PDE Seminar
- Waves in One World
- One World Mathematical Game Theory Seminar
- One World Seminar: Mathematical Methods for Arbitrary Data Sources
- One World Cognitive Psychology Seminar
- One World IMAGing and INvErse problems (IMAGINE) Seminar
- One World Optimization Seminar
- One World Actuarial Research Seminar
- One World Mathematics of INformation, Data, and Signals (MINDS) Seminar
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One World Stochastic Numerics and Inverse Problems (SNIP) Seminar
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One World Seminar Series on the Mathematics of Machine Learning