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Conference Paper: Multivariate Markov chain models

TitleMultivariate Markov chain models
Authors
Fung, SLChing, WKChu, SCKNg, KPZang, W
KeywordsMarkov chain
Estimation
Multivariate data
Issue Date2002
PublisherIEEE.
Citation
The 2002 IEEE International Conference on Systems, Man, and Cybernetics Conference, Hammamet, Tunisia, 6-9 October 2002. In IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings, 2002, v. 3, p. 298-302 How to Cite?
DOI: http://dx.doi.org/10.1109/ICSMC.2002.1176055
AbstractWe study multivariate Markov chain models for approximating a conventional Markov chain model with a huge number of states. We propose an efficient estimation method for the parameters in the proposed model. Numerical examples are given to illustrate the usefulness of the proposed model.
Persistent Identifierhttp://hdl.handle.net/10722/46610
ISSN
1062-922X
2020 SCImago Journal Rankings: 0.168
References
References in Scopus

 

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dc.contributor.authorFung, SLen_HK
dc.contributor.authorChing, WKen_HK
dc.contributor.authorChu, SCKen_HK
dc.contributor.authorNg, KPen_HK
dc.contributor.authorZang, Wen_HK
dc.date.accessioned2007-10-30T06:54:08Z-
dc.date.available2007-10-30T06:54:08Z-
dc.date.issued2002en_HK
dc.identifier.citationThe 2002 IEEE International Conference on Systems, Man, and Cybernetics Conference, Hammamet, Tunisia, 6-9 October 2002. In IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings, 2002, v. 3, p. 298-302en_HK
dc.identifier.issn1062-922Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/46610-
dc.description.abstractWe study multivariate Markov chain models for approximating a conventional Markov chain model with a huge number of states. We propose an efficient estimation method for the parameters in the proposed model. Numerical examples are given to illustrate the usefulness of the proposed model.en_HK
dc.format.extent296271 bytes-
dc.format.extent4654 bytes-
dc.format.extent1995 bytes-
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dc.format.mimetypetext/plain-
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dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings-
dc.rights©2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectMarkov chainen_HK
dc.subjectEstimationen_HK
dc.subjectMultivariate dataen_HK
dc.titleMultivariate Markov chain modelsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1062-922X&volume=3&spage=298&epage=302&date=2002&atitle=Multivariate+Markov+chain+modelsen_HK
dc.identifier.emailChing, WK:wching@hku.hk-
dc.identifier.emailChu, S:schu@hkucc.hku.hk-
dc.identifier.emailZang, W:wzang@maths.hku.hk-
dc.identifier.authorityChing, WK=rp00679-
dc.identifier.authorityChu, S=rp00685-
dc.identifier.authorityZang, W=rp00839-
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICSMC.2002.1176055-
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dc.identifier.volume3-
dc.identifier.spage298-
dc.identifier.epage302-
dc.identifier.scopusauthoridFung, ES=7005440799-
dc.identifier.scopusauthoridChing, WK=13310265500-
dc.identifier.scopusauthoridChu, S=7403619384-
dc.identifier.scopusauthoridNg, MK=34571761900-
dc.identifier.scopusauthoridZang, W=7005740804-
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dc.identifier.issnl1062-922X-

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