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Article: Conditional quantile screening in ultrahigh-dimensional heterogeneous data

TitleConditional quantile screening in ultrahigh-dimensional heterogeneous data
Authors
KeywordsCensored data
Feature screening
Heterogeneity
Quantile regression
Sure independent screening
Transformation model
Ultrahigh dimensionality
Variable selection
Issue Date2015
PublisherBiometrika Trust. The Journal's web site is located at http://biomet.oxfordjournals.org/
Citation
Biometrika, 2015, v. 102, p. 65-76 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/217218
ISSN
2023 Impact Factor: 2.4
2023 SCImago Journal Rankings: 3.358
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWu, Y-
dc.contributor.authorYin, G-
dc.date.accessioned2015-09-18T05:52:35Z-
dc.date.available2015-09-18T05:52:35Z-
dc.date.issued2015-
dc.identifier.citationBiometrika, 2015, v. 102, p. 65-76-
dc.identifier.issn0006-3444-
dc.identifier.urihttp://hdl.handle.net/10722/217218-
dc.languageeng-
dc.publisherBiometrika Trust. The Journal's web site is located at http://biomet.oxfordjournals.org/-
dc.relation.ispartofBiometrika-
dc.subjectCensored data-
dc.subjectFeature screening-
dc.subjectHeterogeneity-
dc.subjectQuantile regression-
dc.subjectSure independent screening-
dc.subjectTransformation model-
dc.subjectUltrahigh dimensionality-
dc.subjectVariable selection-
dc.titleConditional quantile screening in ultrahigh-dimensional heterogeneous data-
dc.typeArticle-
dc.identifier.emailYin, G: gyin@hku.hk-
dc.identifier.authorityYin, G=rp00831-
dc.identifier.doi10.1093/biomet/asu068-
dc.identifier.scopuseid_2-s2.0-84941562219-
dc.identifier.hkuros251592-
dc.identifier.volume102-
dc.identifier.spage65-
dc.identifier.epage76-
dc.identifier.eissn1464-3510-
dc.identifier.isiWOS:000351004200005-
dc.identifier.issnl0006-3444-

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