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Partial correlation with copula modeling

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dc.contributor.authorKim, Jong-Min-
dc.contributor.authorJung, Yoon-Sung-
dc.contributor.authorChoi, Taeryon-
dc.contributor.authorSungur, Engin A.-
dc.date.accessioned2021-09-07T14:22:35Z-
dc.date.available2021-09-07T14:22:35Z-
dc.date.created2021-06-14-
dc.date.issued2011-03-01-
dc.identifier.issn0167-9473-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/112878-
dc.description.abstractWe propose a new partial correlation approach using Gaussian copula Our empirical study found that the Gaussian copula partial correlation has the same value as that which is obtained by performing a Pearson s partial correlation With the proposed method based on canonical vine and d-vine we captured direct interactions among eight histone genes (C) 2010 Elsevier B V All rights reserved-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER-
dc.titlePartial correlation with copula modeling-
dc.typeArticle-
dc.contributor.affiliatedAuthorChoi, Taeryon-
dc.identifier.doi10.1016/j.csda.2010.09.025-
dc.identifier.scopusid2-s2.0-78649333669-
dc.identifier.wosid000285663400015-
dc.identifier.bibliographicCitationCOMPUTATIONAL STATISTICS & DATA ANALYSIS, v.55, no.3, pp.1357 - 1366-
dc.relation.isPartOfCOMPUTATIONAL STATISTICS & DATA ANALYSIS-
dc.citation.titleCOMPUTATIONAL STATISTICS & DATA ANALYSIS-
dc.citation.volume55-
dc.citation.number3-
dc.citation.startPage1357-
dc.citation.endPage1366-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.subject.keywordAuthorPartial correlation-
dc.subject.keywordAuthorGaussian copula-
dc.subject.keywordAuthorGene network-
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