[HDDA] sparse subspace constrained partial least squares-Reference-Cited by-同舟云学术

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[HDDA] sparse subspace constrained partial least squares

Published:2018-12-09 Issue:6 Volume:89 Page:1005-1019
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Sutton Matthew¹^ORCID,Mengersen Kerrie¹^ORCID,Liquet Benoit¹²^ORCID

Affiliation:

1. School of Mathematical Sciences, ARC Centre of Excellence for Mathematical and Statistical Frontiers, Queensland University of Technology, Brisbane, Australia

2. Laboratory of Mathematics and Their Applications, University of Pau and Pays de lAdour, Pau, France

Funder

Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2018.1555830

Reference26 articles.

1. Sparse partial least squares regression for simultaneous dimension reduction and variable selection

2. The prediction error in CLS and PLS: the importance of feature selection prior to multivariate calibration

3. Modeling the relationship between LVAD support time and gene expression changes in the human heart by penalized partial least squares

4. Regression Shrinkage and Selection Via the Lasso

5. Sparse Principal Component Analysis

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