A new approach to choose acceptance cutoff for approximate Bayesian computation

DOI10.1080/02664763.2012.756860OpenAlexW2015480483WikidataQ61826134 ScholiaQ61826134MaRDI QIDQ5128968

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Publication date: 26 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2012.756860

zbMATH Keywords

population geneticsrecombinationlikelihood-free methodsmutation

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Choosing summary statistics by least angle regression for approximate Bayesian computation ⋮ A quasi likelihood approximation of posterior distributions for likelihood-intractable complex models

Uses Software

• abc

Cites Work

• On the number of segregating sites in genetical models without recombination
• Handbook of Markov Chain Monte Carlo

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