On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression

Nayek, R. orcid.org/0000-0003-4277-8382, Fuentes, R., Worden, K. et al. (1 more author) (2021) On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression. Mechanical Systems and Signal Processing, 161. 107986. ISSN 0888-3270

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 Elsevier Ltd. This is an author produced version of a paper subsequently published in Mechanical Systems and Signal Processing. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Equation discovery; Nonlinear system identification; Sparse Bayesian learning; Spike-and-slab priors; Model selection; Bayesian variable selection
Dates:
  • Accepted: 19 April 2021
  • Published (online): 6 May 2021
  • Published: December 2021
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 Sciences Research CouncilEP/N018427/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCILEP/J016942/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCILEP/S001565/1
Depositing User: Symplectic Sheffield
Date Deposited: 07 May 2021 11:42
Last Modified: 06 May 2022 00:38
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.ymssp.2021.107986

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