Validating and Expanding Approximate Bayesian Computation Methods
Videos from BIRS Workshop
Paul Fearnhead, Lancaster University
Monday Feb 20, 2017 09:10 - 10:20
Convergence/validation of ABC
Anthony Lee, University of Warwick
Monday Feb 20, 2017 10:59 - 11:42
ABC MCMC: a survey of theoretical results
Michael Gutmann, University of Edinburgh
Monday Feb 20, 2017 14:09 - 15:19
Modelling the Model for Approximate Bayesian Computation
Jean-Michel Marin, University of Montpellier, France
Monday Feb 20, 2017 15:35 - 16:41
Approximate Bayesian Computation using Random Forests
Matt Graham, University of Edinburgh
Monday Feb 20, 2017 16:43 - 17:24
Inference in differentiable generative models
Jukka Corander, University of Helskinki
Tuesday Feb 21, 2017 09:02 - 10:11
ABC coming of age
Ewan Cameron, University of Oxford
Tuesday Feb 21, 2017 10:13 - 10:54
Some ABC methods in epidemiology & astronomy
Judith Rousseau, University of Oxford
Tuesday Feb 21, 2017 11:19 - 12:16
Discussion on convergence
David Frazier, Monash University
Tuesday Feb 21, 2017 15:33 - 16:43
ABC and model assessment
Gael Martin, Monash University
Wednesday Feb 22, 2017 09:04 - 10:09
Dynamic (parameter-driven) models and ABC
Clara Grazian, La Sapienza Univesità di Roma
Wednesday Feb 22, 2017 10:11 - 10:52
Semi-parametric models with copula methods
Pierre Jacob, Harvard University
Wednesday Feb 22, 2017 11:04 - 11:45
Inference in generative models using the Wasserstein distance
Vikash Mansinghka, MIT
Wednesday Feb 22, 2017 11:48 - 12:30
Probabilistic Programming Highlights
Kyle Cranmer, New York University
Thursday Feb 23, 2017 09:04 - 09:44
Likelihood Free
Patrick Muchmore, University of Southern California
Thursday Feb 23, 2017 09:56 - 10:26
Likelihood-free MCMC for ECDs
Samuel Kaski, Aalto University
Thursday Feb 23, 2017 10:33 - 11:03
ELFI and inferring cognitive models from data
Veronika Czellar, EDHEC Lille
Thursday Feb 23, 2017 11:06 - 12:16
Discussion on dynamic models
Dennis Prangle, University of Newcastle
Thursday Feb 23, 2017 15:35 - 16:08
A rare event approach to high dimensional ABC
Marco Cusumano-Towner, Massachusetts Institute of Technology
Thursday Feb 23, 2017 16:09 - 16:38
Inference in "Likelihood-Free" Bayesian Networks
Scott Sisson, University of New South Wales
Thursday Feb 23, 2017 16:39 - 17:18
ABC in "high" dimensions
