8 citations · 17 across the 8 of their papers we have counts for
3 papers · 1 filter
Adaptive Approximate Bayesian Computation Tolerance Selection
Umberto Simola, Jessica Cisewski-Kehe, Michael U. Gutmann +1
Approximate Bayesian Computation (ABC) methods are increasingly used for inference in situations in which the likelihood function is either computationally costly or intractable to…
Adaptive Gaussian Copula ABC
Yanzhi Chen, Michael U. Gutmann
Approximate Bayesian computation (ABC) is a set of techniques for Bayesian inference when the likelihood is intractable but sampling from the model is possible. This work presents…
Classification and Bayesian Optimization for Likelihood-Free Inference
Michael U. Gutmann, Jukka Corander, Ritabrata Dutta +1
Some statistical models are specified via a data generating process for which the likelihood function cannot be computed in closed form. Standard likelihood-based inference is then…