Data‐driven sparse partial least squares-Reference-Cited by-同舟云学术

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Data‐driven sparse partial least squares

Published:2021-10-18 Issue: Volume: Page:
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Stat Anal Data Min: The ASA Data Sci Journal

Author:

Lorenzo Hadrien¹²³^ORCID,Cloarec Olivier²,Thiébaut Rodolphe¹⁴⁵⁶,Saracco Jérôme¹³

Affiliation:

1. Inria, IMB, UMR 5251 Talence France

2. Corporate Research Advanced Data Analytics Sartorius Aubagne France

3. University of Bordeaux, CNRS, Bordeaux INP, IMB, UMR 5251 Talence France

4. SISTM, INSERM ‐ U1219 BPH, University of Bordeaux Bordeaux France

5. Vaccine Research Institute Créteil France

6. CHU de Bordeaux, Service d'information médicale Bordeaux France

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11558

Reference29 articles.

1. Regularized estimation of large covariance matrices;Bickel P. J.;Ann. Stat.,2008

2. Penalized partial least squares for pleiotropy;Broc C.;BMC Bioinform.,2021

3. Adaptive thresholding for sparse covariance matrix estimation;Cai T.;J. Am. Stat. Assoc.,2011

4. Sparse partial least squares regression for simultaneous dimension reduction and variable selection;Chun H.;J. R. Stat. Soc.: Ser. B (Stat. Methodol.),2010

5. Can we beat over–fitting?;Cloarec O.;J. Chemom.,2014

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