Sparse Extended Redundancy Analysis: Variable Selection via the Exclusive LASSO

10.1080/00273171.2019.1694477

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Bibliographic Details
Main Authors:	Bing Cai Kok, Ji Sok Choi, Hyelim Oh, Ji Yeh Choi
Other Authors:	DEPARTMENT OF COMPUTER SCIENCE
Format:	Article
Published:	Taylor & Francis 2021
Subjects:	LASSO extended redundancy analysis latent variables model regression with dimension reduction regularization variable selection
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/196010
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-196010
record_format	dspace
spelling	sg-nus-scholar.10635-1960102024-04-17T08:58:11Z Sparse Extended Redundancy Analysis: Variable Selection via the Exclusive LASSO Bing Cai Kok Ji Sok Choi Hyelim Oh Ji Yeh Choi DEPARTMENT OF COMPUTER SCIENCE DEPARTMENT OF INFORMATION SYSTEMS AND ANALYTICS LASSO extended redundancy analysis latent variables model regression with dimension reduction regularization variable selection 10.1080/00273171.2019.1694477 Multivariate Behavioral Research 56 3 426-446 2021-08-06T07:46:29Z 2021-08-06T07:46:29Z 2019-11-28 Article Bing Cai Kok, Ji Sok Choi, Hyelim Oh, Ji Yeh Choi (2019-11-28). Sparse Extended Redundancy Analysis: Variable Selection via the Exclusive LASSO. Multivariate Behavioral Research 56 (3) : 426-446. ScholarBank@NUS Repository. https://doi.org/10.1080/00273171.2019.1694477 00273171 https://scholarbank.nus.edu.sg/handle/10635/196010 Taylor & Francis Taylor & Francis
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	LASSO extended redundancy analysis latent variables model regression with dimension reduction regularization variable selection
spellingShingle	LASSO extended redundancy analysis latent variables model regression with dimension reduction regularization variable selection Bing Cai Kok Ji Sok Choi Hyelim Oh Ji Yeh Choi Sparse Extended Redundancy Analysis: Variable Selection via the Exclusive LASSO
description	10.1080/00273171.2019.1694477
author2	DEPARTMENT OF COMPUTER SCIENCE
author_facet	DEPARTMENT OF COMPUTER SCIENCE Bing Cai Kok Ji Sok Choi Hyelim Oh Ji Yeh Choi
format	Article
author	Bing Cai Kok Ji Sok Choi Hyelim Oh Ji Yeh Choi
author_sort	Bing Cai Kok
title	Sparse Extended Redundancy Analysis: Variable Selection via the Exclusive LASSO
title_short	Sparse Extended Redundancy Analysis: Variable Selection via the Exclusive LASSO
title_full	Sparse Extended Redundancy Analysis: Variable Selection via the Exclusive LASSO
title_fullStr	Sparse Extended Redundancy Analysis: Variable Selection via the Exclusive LASSO
title_full_unstemmed	Sparse Extended Redundancy Analysis: Variable Selection via the Exclusive LASSO
title_sort	sparse extended redundancy analysis: variable selection via the exclusive lasso
publisher	Taylor & Francis
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/196010
_version_	1800914875496529920

Sparse Extended Redundancy Analysis: Variable Selection via the Exclusive LASSO

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