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Article: Testing the independence of two random vectors where only one dimension is large

TitleTesting the independence of two random vectors where only one dimension is large
Authors
Li, WChen, JYao, JJ
KeywordsCovariance matrix
gene network
high-dimensional testing
independence test
Issue Date2017
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/02331888.asp
Citation
Statistics, 2017, v. 51 n. 1, p. 141-153 How to Cite?
DOI: http://dx.doi.org/10.1080/02331888.2016.1266988
Persistent Identifierhttp://hdl.handle.net/10722/245298
ISSN
0233-1888
2023 Impact Factor: 1.2
2023 SCImago Journal Rankings: 0.427
ISI Accession Number ID
WOS:000394464700010

 

DC FieldValueLanguage
dc.contributor.authorLi, W-
dc.contributor.authorChen, J-
dc.contributor.authorYao, JJ-
dc.date.accessioned2017-09-18T02:08:09Z-
dc.date.available2017-09-18T02:08:09Z-
dc.date.issued2017-
dc.identifier.citationStatistics, 2017, v. 51 n. 1, p. 141-153-
dc.identifier.issn0233-1888-
dc.identifier.urihttp://hdl.handle.net/10722/245298-
dc.languageeng-
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/02331888.asp-
dc.relation.ispartofStatistics-
dc.rightsThis is an electronic version of an article published in [Statistics, 2017, v. 51, p. 141-153]. [Statistics] is available online at: https://www.tandfonline.com/doi/full/10.1080/02331888.2016.1266988-
dc.subjectCovariance matrix-
dc.subjectgene network-
dc.subjecthigh-dimensional testing-
dc.subjectindependence test-
dc.titleTesting the independence of two random vectors where only one dimension is large-
dc.typeArticle-
dc.identifier.emailYao, JJ: jeffyao@hku.hk-
dc.identifier.authorityYao, JJ=rp01473-
dc.description.naturepostprint-
dc.identifier.doi10.1080/02331888.2016.1266988-
dc.identifier.scopuseid_2-s2.0-85006944012-
dc.identifier.hkuros278199-
dc.identifier.volume51-
dc.identifier.spage141-
dc.identifier.epage153-
dc.identifier.isiWOS:000394464700010-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl0233-1888-

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