Graphical models via joint quantile regression with component selection

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dc.contributor.authorChun, Hyonhoko
dc.contributor.authorLee, Myung Heeko
dc.contributor.authorFleet, James C.ko
dc.contributor.authorOh, Ji Hwanko
dc.date.accessioned2019-08-20T01:20:08Z-
dc.date.available2019-08-20T01:20:08Z-
dc.date.created2019-08-20-
dc.date.created2019-08-20-
dc.date.created2019-08-20-
dc.date.issued2016-12-
dc.identifier.citationJOURNAL OF MULTIVARIATE ANALYSIS, v.152, pp.162 - 171-
dc.identifier.issn0047-259X-
dc.identifier.urihttp://hdl.handle.net/10203/264306-
dc.description.abstractA graphical model is used for describing interrelationships among multiple variables. In many cases, the multivariate Gaussian assumption is made partly for its simplicity but the assumption is hardly met in actual applications. In order to avoid dependence on a rather strong assumption, we propose to infer the graphical model via joint quantile regression with component selection, since the components of quantile regression carry information to infer the conditional independence. We demonstrate the advantages of our approach using simulation studies and apply our method to an interesting real biological dataset, where the dependence structure is highly complex. (C) 2016 Elsevier Inc. All rights reserved.-
dc.languageEnglish-
dc.publisherELSEVIER INC-
dc.titleGraphical models via joint quantile regression with component selection-
dc.typeArticle-
dc.identifier.wosid000385786600010-
dc.identifier.scopusid2-s2.0-84986917964-
dc.type.rimsART-
dc.citation.volume152-
dc.citation.beginningpage162-
dc.citation.endingpage171-
dc.citation.publicationnameJOURNAL OF MULTIVARIATE ANALYSIS-
dc.identifier.doi10.1016/j.jmva.2016.07.012-
dc.contributor.localauthorChun, Hyonho-
dc.contributor.nonIdAuthorLee, Myung Hee-
dc.contributor.nonIdAuthorFleet, James C.-
dc.contributor.nonIdAuthorOh, Ji Hwan-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorGaussian graphical models-
dc.subject.keywordAuthorConditional quantile-
dc.subject.keywordAuthorComponent selection-
dc.subject.keywordAuthorGeneralized additive models-
dc.subject.keywordPlusSPLINES-
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