Calibration of stochastic computer simulators using likelihood emulation

Oakley, J.E. and Youngman, B.D. (2017) Calibration of stochastic computer simulators using likelihood emulation. Technometrics, 59 (1). pp. 80-92. ISSN 1537-2723

Abstract

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Authors/Creators:
  • Oakley, J.E.
  • Youngman, B.D.
Copyright, Publisher and Additional Information: © 2016 The Author(s). Published by Taylor & Francis. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Permission is granted subject to the terms of the License under which the work was published. Please check the License conditions for the work which you wish to reuse. Full and appropriate attribution must be given. This permission does not cover any third party copyrighted material which may appear in the work requested.
Keywords: Bayesian inference; computer experiments; natural history model; importance sampling; Gaussian process emulator
Dates:
  • Accepted: 22 November 2015
  • Published (online): 10 December 2015
  • Published: 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/H007377/1
Depositing User: Symplectic Sheffield
Date Deposited: 10 May 2016 14:48
Last Modified: 23 Jun 2017 15:59
Published Version: http://dx.doi.org/10.1080/00401706.2015.1125391
Status: Published
Publisher: Taylor & Francis
Refereed: Yes
Identification Number: https://doi.org/10.1080/00401706.2015.1125391
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