Model selection and parameter estimation in structural dynamics using approximate Bayesian computation

Abdessalem, A., Dervilis, N., Wagg, D. et al. (1 more author) (2018) Model selection and parameter estimation in structural dynamics using approximate Bayesian computation. Mechanical Systems and Signal Processing, 99. pp. 306-325. ISSN 0888-3270

Abstract

Metadata

Authors/Creators:
  • Abdessalem, A.
  • Dervilis, N.
  • Wagg, D.
  • Worden, K.
Copyright, Publisher and Additional Information: © 2017 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/
Keywords: Model selection; Parameter estimation; Approximate Bayesian computation; Sequential Monte Carlo; Nonlinearity
Dates:
  • Accepted: 17 June 2017
  • Published (online): 26 June 2017
  • Published: 15 January 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/K003836/2
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/K003836/1
Depositing User: Symplectic Sheffield
Date Deposited: 23 Jun 2017 13:06
Last Modified: 31 Oct 2018 14:46
Published Version: https://doi.org/10.1016/j.ymssp.2017.06.017
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.ymssp.2017.06.017

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