Testing the Order of Markov Dependence in DNA Sequences

dc.contributor.authorMenendez, M. L.en
dc.contributor.authorPardo, L.en
dc.contributor.authorPardo, M. C.en
dc.contributor.authorZografos, K.en
dc.date.accessioned2015-11-24T17:21:23Z
dc.date.available2015-11-24T17:21:23Z
dc.identifier.issn1387-5841-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/12456
dc.rightsDefault Licence-
dc.subjectDNA sequenceen
dc.subjectmarkov dependenceen
dc.subjectlikelihood ratio testen
dc.subjectphi-divergence test statisticsen
dc.subjectdivergenceen
dc.subjectchainen
dc.titleTesting the Order of Markov Dependence in DNA Sequencesen
heal.abstractDNA or protein sequences are usually modeled as probabilistic phenomena. The simplest model is created on the assumption that the nucleotides at the various sites are independently distributed. Usually the type of nucleotide at some site depends on the type at another site and therefore the DNA sequence is modeled as a Markov chain of random variables taking on the values A, G, C and T corresponding to the four nucleotides. First order or higher order Markov models provide better fit to a DNA sequence. Based on this remark, the aim of this paper is to present and study a family of test statistics for testing order Markov dependence in DNA sequences. This new family includes as a particular case the classical likelihood ratio test. A simulation study is presented in order to find test statistics, in this family, with a better behaviour than the likelihood ratio test.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primaryDOI 10.1007/s11009-008-9107-1-
heal.identifier.secondary<Go to ISI>://000286707200003-
heal.journalNameMethodology and Computing in Applied Probabilityen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2011-
heal.publisherSpringer Verlag (Germany)en
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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