Model selection and parameter estimation of dynamical systems using a novel variant of approximate Bayesian computation

Abdessalem, A.B., Dervilis, N. orcid.org/0000-0002-5712-7323, Wagg, D. et al. (1 more author) (2019) Model selection and parameter estimation of dynamical systems using a novel variant of approximate Bayesian computation. Mechanical Systems and Signal Processing, 122. pp. 364-386. ISSN 0888-3270

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Dynamical systems; Approximate Bayesian computation; Model selection; Nested sampling; Wire rope isolator; Nonlinearity
Dates:
  • Accepted: 21 December 2018
  • Published (online): 29 December 2018
  • Published: 1 May 2019
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: 14 Mar 2019 16:39
Last Modified: 14 Mar 2019 16:39
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.ymssp.2018.12.048

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