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Article: Supervised Sparse and Functional Principal Component Analysis

TitleSupervised Sparse and Functional Principal Component Analysis
Authors
Li, GShen, HHuang, J
KeywordsLatent variable
Low-rank approximation
Penalized likelihood
Regularized PCA
Supervised dimension reduction
SupSFPC
Issue Date2016
PublisherAmerican Statistical Association.
Citation
Journal of Computational and Graphical Statistics, 2016, v. 25 n. 3, p. 859-878 How to Cite?
DOI: http://dx.doi.org/10.1080/10618600.2015.1064434
Persistent Identifierhttp://hdl.handle.net/10722/232103
ISSN
1061-8600
2021 Impact Factor: 1.884
2020 SCImago Journal Rankings: 2.436
ISI Accession Number ID
WOS:000381845500012

 

DC FieldValueLanguage
dc.contributor.authorLi, G-
dc.contributor.authorShen, H-
dc.contributor.authorHuang, J-
dc.date.accessioned2016-09-20T05:27:44Z-
dc.date.available2016-09-20T05:27:44Z-
dc.date.issued2016-
dc.identifier.citationJournal of Computational and Graphical Statistics, 2016, v. 25 n. 3, p. 859-878-
dc.identifier.issn1061-8600-
dc.identifier.urihttp://hdl.handle.net/10722/232103-
dc.languageeng-
dc.publisherAmerican Statistical Association. -
dc.relation.ispartofJournal of Computational and Graphical Statistics-
dc.subjectLatent variable-
dc.subjectLow-rank approximation-
dc.subjectPenalized likelihood-
dc.subjectRegularized PCA-
dc.subjectSupervised dimension reduction-
dc.subjectSupSFPC-
dc.titleSupervised Sparse and Functional Principal Component Analysis-
dc.typeArticle-
dc.identifier.emailShen, H: haipeng@hku.hk-
dc.identifier.authorityShen, H=rp02082-
dc.identifier.doi10.1080/10618600.2015.1064434-
dc.identifier.scopuseid_2-s2.0-84982903044-
dc.identifier.hkuros263860-
dc.identifier.volume25-
dc.identifier.issue3-
dc.identifier.spage859-
dc.identifier.epage878-
dc.identifier.isiWOS:000381845500012-
dc.publisher.placeUnited States-
dc.identifier.issnl1061-8600-

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