Emulation of vessel motion simulators for computationally efficient uncertainty quantification

Astfalck, LC, Cripps, EJ, Gosling, JP orcid.org/0000-0002-4072-3022 et al. (1 more author) (2019) Emulation of vessel motion simulators for computationally efficient uncertainty quantification. Ocean Engineering, 172. pp. 726-736. ISSN 0029-8018

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Copyright, Publisher and Additional Information: © 2018 Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Ocean Engineering. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Gaussian process emulation; FPSO vessel motions; Directional inputs; Uncertainty quantification; Bayesian statistics
Dates:
  • Published: 15 January 2019
  • Accepted: 4 December 2018
  • Published (online): 26 December 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 07 Dec 2018 11:07
Last Modified: 26 Dec 2019 01:38
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.oceaneng.2018.11.059

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