Our next speaker at the One World ABC Seminar will be Pierre Alquier, who will talk about “Concentration and robustness of discrepancy-based ABC“, on Thursday April 28, at 9.30am UK time, with an abstract reported below. Approximate Bayesian Computation (ABC) typically employs summary statistics to measure the discrepancy among the observed data and the synthetic data generated from each […]

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## Concentration and robustness of discrepancy-based ABC [One World ABC ‘minar, 28 April]

April 15, 2022## One World ABC seminar [31.3.22]

March 16, 2022The next One World ABC seminar is on Thursday 31 March, with David Warnes (from QUT) talking on Multifidelity multilevel Monte Carlo for approximate Bayesian computation It will take place at 10:30 CET (GMT+1). Models of stochastic processes are widely used in almost all fields of science. However, data are almost always incomplete observations of […]

## One World ABC seminar [24.2.22]

February 22, 2022The next One World ABC seminar is on Thursday 24 Feb, with Rafael Izbicki talking on Likelihood-Free Frequentist Inference – Constructing Confidence Sets with Correct Conditional Coverage. It will take place at 14:30 CET (GMT+1). Many areas of science make extensive use of computer simulators that implicitly encode likelihood functions of complex systems. Classical statistical […]

## ABC in Warwick [Arena, Blended, Committed]

February 20, 2022## One World ABC seminar [3.2.22]

February 1, 2022The next One World ABC seminar is on Thursday 03 Feb, with Yixing Want talking on Posterior collapse and latent variable non-identifiability It will take place at 15:30 CET (GMT+1). Variational autoencoders model high-dimensional data by positing low-dimensional latent variables that are mapped through a flexible distribution parametrized by a neural network. Unfortunately, variational autoencoders […]