Approximate Bayesian Computation

Author:

Beaumont Mark A.1

Affiliation:

1. School of Biological Sciences, University of Bristol, Bristol BS8 1TQ, United Kingdom;

Abstract

Many of the statistical models that could provide an accurate, interesting, and testable explanation for the structure of a data set turn out to have intractable likelihood functions. The method of approximate Bayesian computation (ABC) has become a popular approach for tackling such models. This review gives an overview of the method and the main issues and challenges that are the subject of current research.

Publisher

Annual Reviews

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

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