Robust nonlinear system identification: Bayesian mixture of experts using the t-distribution

Baldacchino, T., Worden, K. orcid.org/0000-0002-1035-238X and Rowson, J. orcid.org/0000-0002-5226-680X (2017) Robust nonlinear system identification: Bayesian mixture of experts using the t-distribution. Mechanical Systems and Signal Processing, 85. pp. 977-992. ISSN 0888-3270

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2016 Elsevier. 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: Outliers; Robust estimation; Student-t distribution; Variational; Bayes; Mixture of experts; Bifurcating mechanical structures
Dates:
  • Published: February 2017
  • Accepted: 28 August 2016
  • Published (online): 3 November 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
LEVERHULME TRUST (THE)RPG-2012-816
Depositing User: Symplectic Sheffield
Date Deposited: 19 Jan 2017 11:28
Last Modified: 03 Nov 2017 01:38
Published Version: https://doi.org/10.1016/j.ymssp.2016.08.045
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.ymssp.2016.08.045

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