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Article: Stochastically optimal bootstrap sample size for shrinkage-type statistics

TitleStochastically optimal bootstrap sample size for shrinkage-type statistics
Authors
Wei, BLee, SMSWu, XY
KeywordsBootstrap consistency
James–Stein estimator
m out of n bootstrap
Post-model-selection
Ridge regression
Shrinkage-type
Stochastically optimal
Issue Date2016
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0960-3174
Citation
Statistics and Computing, 2016, v. 26 n. 1-2, p. 249-262 How to Cite?
DOI: http://dx.doi.org/10.1007/s11222-014-9493-x
Persistent Identifierhttp://hdl.handle.net/10722/203420
ISSN
0960-3174
2023 Impact Factor: 1.6
2023 SCImago Journal Rankings: 0.923
ISI Accession Number ID
WOS:000373347100017

 

DC FieldValueLanguage
dc.contributor.authorWei, B-
dc.contributor.authorLee, SMS-
dc.contributor.authorWu, XY-
dc.date.accessioned2014-09-19T15:10:26Z-
dc.date.available2014-09-19T15:10:26Z-
dc.date.issued2016-
dc.identifier.citationStatistics and Computing, 2016, v. 26 n. 1-2, p. 249-262-
dc.identifier.issn0960-3174-
dc.identifier.urihttp://hdl.handle.net/10722/203420-
dc.languageeng-
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0960-3174-
dc.relation.ispartofStatistics and Computing-
dc.rightsThe final publication is available at Springer via http://dx.doi.org/[insert DOI]-
dc.subjectBootstrap consistency-
dc.subjectJames–Stein estimator-
dc.subjectm out of n bootstrap-
dc.subjectPost-model-selection-
dc.subjectRidge regression-
dc.subjectShrinkage-type-
dc.subjectStochastically optimal-
dc.titleStochastically optimal bootstrap sample size for shrinkage-type statistics-
dc.typeArticle-
dc.identifier.emailWei, B: weibei@graduate.hku.hk-
dc.identifier.emailLee, SMS: smslee@hku.hk-
dc.identifier.emailWu, XY: xiyuan@hku.hk-
dc.identifier.authorityLee, SMS=rp00726-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11222-014-9493-x-
dc.identifier.scopuseid_2-s2.0-84953367000-
dc.identifier.hkuros236725-
dc.identifier.volume26-
dc.identifier.issue1-2-
dc.identifier.spage249-
dc.identifier.epage262-
dc.identifier.isiWOS:000373347100017-
dc.publisher.placeUnited States-
dc.identifier.issnl0960-3174-

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