When is a model good enough? Deriving the expected value of model improvement via specifying internal model discrepancies

Strong, M. and Oakley, J.E. (2014) When is a model good enough? Deriving the expected value of model improvement via specifying internal model discrepancies. SIAM/ASA Journal on Uncertainty Quantification, 2 (1). 106 - 125 . ISSN 2166-2525

Abstract

Metadata

Authors/Creators:
  • Strong, M.
  • Oakley, J.E.
Copyright, Publisher and Additional Information: © 2014, Society for Industrial and Applied Mathematics
Keywords: computer model; health economic model; Bayesian decision theory; model uncertainty; expected value of perfect information; Gaussian process
Dates:
  • Published: 6 February 2014
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 07 Jul 2015 08:27
Last Modified: 07 Jul 2015 08:27
Published Version: http://dx.doi.org/10.1137/120889563
Status: Published
Publisher: Society for Industrial and Applied Mathematics
Refereed: Yes
Identification Number: https://doi.org/10.1137/120889563

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