Probabilistic partial least squares model: Identifiability, estimation and application

El Bouhaddani, S, Uh, H-W, Hayward, C et al. (2 more authors) (2018) Probabilistic partial least squares model: Identifiability, estimation and application. Journal of Multivariate Analysis, 167. pp. 331-346. ISSN 0047-259X

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Copyright, Publisher and Additional Information: © 2018 Elsevier Inc. All rights reserved. This is an author produced version of a paper published in Journal of Multivariate Analysis. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Dimension reduction; EM algorithm; Identifiability; Inference; Probabilistic partial least squares
Dates:
  • Published: September 2018
  • Accepted: 9 May 2018
  • Published (online): 6 June 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: 13 Jun 2018 14:57
Last Modified: 06 Jun 2019 00:42
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.jmva.2018.05.009

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