A new approach to choose acceptance cutoff for approximate Bayesian computation

Muhammad Faisal, Andreas Futschik and Ijaz Hussain

Journal of Applied Statistics, 2013, vol. 40, issue 4, 862-869

Abstract: The approximate Bayesian computation (ABC) algorithm is used to estimate parameters from complicated phenomena, where likelihood is intractable. Here, we report the development of an algorithm to choose the tolerance level for ABC. We have illustrated the performance of our proposed method by simulating the estimation of scaled mutation and recombination rates. The result shows that the proposed algorithm performs well.

Date: 2013
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DOI: 10.1080/02664763.2012.756860

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