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Article: A Survey of High Dimension Low Sample Size Asymptotics

TitleA Survey of High Dimension Low Sample Size Asymptotics
Authors
Keywordscanonical correlations
classification
geometric representation
hypothesis testing
principal component analysis
Issue Date2018
PublisherWiley for Australian Statistical Publishing Association. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X
Citation
Australian & New Zealand Journal of Statistics, 2018, v. 60, p. 4-19 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/263832
ISSN
2021 Impact Factor: 0.867
2020 SCImago Journal Rankings: 0.434
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorShen, H-
dc.date.accessioned2018-10-22T07:45:11Z-
dc.date.available2018-10-22T07:45:11Z-
dc.date.issued2018-
dc.identifier.citationAustralian & New Zealand Journal of Statistics, 2018, v. 60, p. 4-19-
dc.identifier.issn1369-1473-
dc.identifier.urihttp://hdl.handle.net/10722/263832-
dc.languageeng-
dc.publisherWiley for Australian Statistical Publishing Association. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X-
dc.relation.ispartofAustralian & New Zealand Journal of Statistics-
dc.rightsPreprint This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article]. Authors are not required to remove preprints posted prior to acceptance of the submitted version. Postprint This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving: http://olabout.wiley.com/WileyCDA/Section/id-828039.html#terms-
dc.subjectcanonical correlations-
dc.subjectclassification-
dc.subjectgeometric representation-
dc.subjecthypothesis testing-
dc.subjectprincipal component analysis-
dc.titleA Survey of High Dimension Low Sample Size Asymptotics-
dc.typeArticle-
dc.identifier.emailShen, H: haipeng@hku.hk-
dc.identifier.authorityShen, H=rp02082-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1111/anzs.12212-
dc.identifier.scopuseid_2-s2.0-85043984111-
dc.identifier.hkuros295596-
dc.identifier.volume60-
dc.identifier.spage4-
dc.identifier.epage19-
dc.identifier.isiWOS:000427465500002-
dc.publisher.placeAustralia-
dc.identifier.issnl1369-1473-

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