arXiv:1802.09720 Abstract | arXiv Analytics

arXiv:1802.09720 [stat.CO]Abstract References Reviews Resources

Overview of Approximate Bayesian Computation

Published 2018-02-27Version 1

This Chapter, "Overview of Approximate Bayesian Computation", is to appear as the first chapter in the forthcoming Handbook of Approximate Bayesian Computation (2018). It details the main ideas and concepts behind ABC methods with many examples and illustrations.

Categories: stat.CO, stat.ME, stat.ML

Keywords: approximate bayesian computation, first chapter, main ideas, abc methods, illustrations

Related articles: Most relevant | Search more

arXiv:1910.12815 [stat.CO] (Published 2019-10-28)

Approximate Bayesian Computation with the Sliced-Wasserstein Distance

Kimia Nadjahi, Valentin De Bortoli, Alain Durmus, Roland Badeau, Umut Şimşekli

arXiv:1512.04831 [stat.CO] (Published 2015-12-15)

Coupling stochastic EM and Approximate Bayesian Computation for parameter inference in state-space models

Umberto Picchini, Adeline Samson

arXiv:0811.3355 [stat.CO] (Published 2008-11-20, updated 2013-04-23)

Approximate Bayesian computation (ABC) gives exact results under the assumption of model error

Richard D. Wilkinson