Considering discrepancy when calibrating a mechanistic electrophysiology model

Lei, C.L., Ghosh, S., Whittaker, D.G. et al. (14 more authors) (2020) Considering discrepancy when calibrating a mechanistic electrophysiology model. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378 (2173). 20190349. ISSN 1364-503X

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
Keywords: uncertainty quantification; cardiac model; Bayesian inference; model discrepancy
Dates:
  • Accepted: 21 April 2020
  • Published (online): 25 May 2020
  • Published: 12 June 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCILEP/P010741/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCILEP/R006768/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCILEP/R003645/1
Depositing User: Symplectic Sheffield
Date Deposited: 12 Jun 2020 15:23
Last Modified: 12 Jun 2020 15:23
Status: Published
Publisher: The Royal Society
Refereed: Yes
Identification Number: https://doi.org/10.1098/rsta.2019.0349
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