Elegant robustification of sparse partial least squares by robustness-inducing transformations-Reference-Cited by-同舟云学术

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Elegant robustification of sparse partial least squares by robustness-inducing transformations

Published:2024-01-02 Issue:1 Volume:58 Page:44-64
ISSN:0233-1888
Container-title:Statistics
language:en
Short-container-title:Statistics

Author:

Serneels Sven¹²,Insolia Luca³^ORCID,Verdonck Tim²⁴^ORCID

Affiliation:

1. Aspen Technology, Inc., Bedford, MA, USA

2. Department of Mathematics, University of Antwerp, Antwerp, Belgium

3. Geneva School of Economics and Management, University of Geneva, Geneva, Switzerland

4. Department of Mathematics, KU Leuven, Leuven, Belgium

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331888.2024.2313507

Reference43 articles.

1. Regression shrinkage and selection via the lasso;Tibshirani R.;J R Stat Soc B,1996

2. Penalized least squares regression methods and applications to neuroimaging

3. Review of Statistical Learning Methods in Integrated Omics Studies (An Integrated Information Science)

4. Belloni A Chernozhukov V. High dimensional sparse econometric models: an introduction. Berlin Heidelberg: Springer; 2011. p. 121–156.

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