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Home / Journal of Applied Statistics, Volume 40, Number 4

A new approach to choose acceptance cutoff for approximate Bayesian computation

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Authors: Faisal, Muhammad 1 ; Futschik, Andreas 2 ; Hussain, Ijaz 3 ; 

Source: Journal of Applied Statistics, Volume 40, Number 4, 1 April 2013, pp. 862-869(8)

Publisher: Taylor and Francis Ltd

DOI: https://doi.org/10.1080/02664763.2012.756860

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.

Keywords: likelihood-free methods; mutation; population genetics; recombination

Document Type: Research Article

Affiliations: 1: National Center for Bioinformatics, Quaid-i-Azam University (QAU), Islamabad, Pakistan 2: Department of Statistics and Operations Research, University of Vienna, 1010,Vienna, Austria 3: Department of Mathematics, COMSATS Institute of Information Technology, Lahore, Pakistan

Publication date: 01 April 2013

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