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Branching Markov processes and related asymptotics

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dc.contributor.authorHwang, S. Y.-
dc.contributor.authorBasawa, I. V.-
dc.date.available2021-02-22T14:16:54Z-
dc.date.issued2009-07-
dc.identifier.issn0047-259X-
dc.identifier.issn1095-7243-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/13727-
dc.description.abstractModels for Markov processes indexed by a branching process are presented. The new class of models is referred to as the branching Markov process (BMP). The law of large numbers and a central limit theorem for the BMP are established. Bifurcating autoregressive processes ( BAR) are special cases of the general BMP model discussed in the paper. Applications to parameter estimation are also presented. (C) 2008 Elsevier Inc. All rights reserved.-
dc.format.extent13-
dc.language영어-
dc.language.isoENG-
dc.publisherELSEVIER INC-
dc.titleBranching Markov processes and related asymptotics-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1016/j.jmva.2008.10.014-
dc.identifier.scopusid2-s2.0-62349113533-
dc.identifier.wosid000265805600006-
dc.identifier.bibliographicCitationJOURNAL OF MULTIVARIATE ANALYSIS, v.100, no.6, pp 1155 - 1167-
dc.citation.titleJOURNAL OF MULTIVARIATE ANALYSIS-
dc.citation.volume100-
dc.citation.number6-
dc.citation.startPage1155-
dc.citation.endPage1167-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.subject.keywordPlusMODEL-
dc.subject.keywordAuthorBranching processes-
dc.subject.keywordAuthorMarkov processes-
dc.subject.keywordAuthorLaw of large numbers-
dc.subject.keywordAuthorCentral limit theorem-
dc.subject.keywordAuthorConditional exponential family-
dc.subject.keywordAuthorLeast squares-
dc.subject.keywordAuthorQuasilikelihood and maximum likelihood estimation-
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