Spectral representations of the transition probability matrices for continuous time finite Markov chains

dc.citation.epage33en_US
dc.citation.issue1en_US
dc.citation.spage28en_US
dc.citation.volume33en_US
dc.citation.woscount3
dc.contributor.authorPeng, NFen_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department統計學研究所zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentInstitute of Statisticsen_US
dc.date.accessioned2014-12-08T15:02:49Z
dc.date.available2014-12-08T15:02:49Z
dc.date.issued1996-03-01en_US
dc.description.abstractUsing an easy linear-algebraic method, we obtain spectral representations, without the need for eigenvector determination, of the transition probability matrices for completely general continuous time Markov chains with finite state space. Comparing the proof presented here with that of Brown (1991), who provided a similar result for a special class of finite Markov chains, we observe that ours is more concise.en_US
dc.identifier.issn0021-9002en_US
dc.identifier.journalJOURNAL OF APPLIED PROBABILITYen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/1429
dc.identifier.wosnumberWOS:A1996UA41900003
dc.language.isoen_USen_US
dc.subjectMarkov chainsen_US
dc.subjecttransition probability matricesen_US
dc.subjectspectral representationsen_US
dc.titleSpectral representations of the transition probability matrices for continuous time finite Markov chainsen_US
dc.typeArticleen_US

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