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

Wilkinson, R.D. orcid.org/0000-0001-7729-7023 (2013) Approximate Bayesian computation (ABC) gives exact results under the assumption of model error. Statistical Applications in Genetics and Molecular Biology, 12 (2). pp. 129-141. ISSN 2194-6302

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Copyright, Publisher and Additional Information: © 2013 De Gruyter. This is an author produced version of a paper subsequently published in Statistical Applications in Genetics and Molecular Biology. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Approximate Bayesian computation; calibration; likelihood-free inference; implicit inference; Monte Carlo
Dates:
  • Published: 6 January 2013
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 12 May 2016 10:20
Last Modified: 13 May 2016 16:53
Published Version: http://dx.doi.org/10.1515/sagmb-2013-0010
Status: Published
Publisher: De Gruyter
Refereed: Yes
Identification Number: https://doi.org/10.1515/sagmb-2013-0010

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