One World Approximate Bayesian Computation (ABC) seminar

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statistics theory

Audience: Researchers in the topic
Seminar series times: No fixed schedule
Organizers: Massimiliano Tamborrino*, Julyan Arbel, Ritabrata Dutta, Richard Everitt, Paul Fearnhead, Michael Gutmann, Gael Martin, Antonietta Mira, Umberto Picchini, Dennis Prangle, Christian Robert, Judith Rousseau, Scott Sisson
*contact for this listing

Description: Approximation Bayesian computation, methods, and inference

The One World ABC seminar started in April 2020 as a way to gather members and disseminate results and innovation on ABC, likelihood free inference, PMCMC, etc., during those weeks and months under lockdown.

We are now ready to start Season 3 in September, with monthly seminars scheduled on the last Thursday of the month.

The interface for the seminars will be Zoom. Before each talk, a guest link will be mailed to the mailing list. Please register here listserv.csv.warwick.ac.uk/mailman/listinfo/abc_world_seminar to join the list.

Organisers: Julyan Arbel, Ritabrata Dutta, Richard Everitt, Paul Fearnhead, Michael Gutmann, Gael Martin, Antonietta Mira, Umberto Picchini, Dennis Prangle, Christian Robert, Judith Rousseau, Scott Sisson, Massimiliano Tamborrino

Upcoming talks
Past talks
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ThuJan 2713:30Rafael IzbickiTBA
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ThuNov 2511:30Clara GrazianTBA
ThuOct 2810:30Michael Gutmann Publications TeachingTBA
ThuSep 3010:30Matias QuirozSpectral Subsampling MCMC for Stationary Multivariate Time Series
ThuMay 2710:30Veronika RockovaMetropolis-Hastings via Classification
ThuApr 2910:30Jakob MackeSimulation-based inference for neuroscience (and beyond)
ThuMar 2511:30Mijung ParkABCDP: Approximate Bayesian Computation with Differential Privacy
ThuDec 1011:30Matti ViholaOn the use of ABC-MCMC with inflated tolerance and post-correction
ThuNov 1211:30David NottMarginally-calibrated deep distributional regression
ThuOct 2911:30Agnieszka BorowskaGaussian process enhanced semi-automatic ABC for inference in a stochastic differential equation system for chemotaxis
ThuOct 1510:30David FrazierRobust and Efficient Approximate Bayesian Computation: A Minimum Distance Approach
ThuOct 0110:30Marko JärvenpääBatch simulations and uncertainty quantification in Gaussian process surrogate ABC
ThuSep 1710:30Flora Jay and Théophile SanchezDeep learning for population size history inference: design, comparison and combination with approximate Bayesian computation
ThuSep 0310:30Pierre-Alexandre Mattei and Samuel WiqvistPartially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation
ThuJul 1610:30Ruth BakerMulti-fidelity Approximate Bayesian computation
ThuJul 0210:30Chris Drovandimproving Bayesian Synthetic Likelihood via Transformations
ThuJun 1810:30Hien D. NguyenApproximate Bayesian computation via the energy statistic
ThuJun 0410:30Irene TubikanecSpectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs
ThuMay 2110:30Gael MartinFocused Bayesian prediction
ThuMay 0710:30Umberto PicchiniStratified sampling and bootstrapping for approximate Bayesian computation
ThuApr 2310:30Ivis Kerama and Richard EverittRare event ABC-SMC^2
ThuApr 0910:30Dennis PrangleDistilling importance sampling
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