Conference Paper: Multivariate Markov chain models

File Download Links for fulltext
(May Require Subscription)
  • Find via
Supplementary
  • Basic View
  • Metadata View
  • XML View
TitleMultivariate Markov chain models
AuthorsFung, SL
Ching, WK
Chu, SCK
Ng, KP
Zang, W
KeywordsMarkov chain
Estimation
Multivariate data
Issue Date2002
PublisherIEEE.
CitationIEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings, Hammamet, Tunisia, 6-9 October 2002, v. 3, p. 298-302 [How to Cite?]
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.
ISSN1062-922X
DC Field
Value
dc.contributor.authorFung, SL
dc.contributor.authorChing, WK
dc.contributor.authorChu, SCK
dc.contributor.authorNg, KP
dc.contributor.authorZang, W
dc.date.accessioned2007-10-30T06:54:08Z
dc.date.available2007-10-30T06:54:08Z
dc.date.issued2002
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.
dc.description.naturepublished_or_final_version
dc.format.extent296271 bytes
dc.format.extent4654 bytes
dc.format.extent1995 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.format.mimetypetext/plain
dc.identifier.citationIEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings, Hammamet, Tunisia, 6-9 October 2002, v. 3, p. 298-302 [How to Cite?]
dc.identifier.hkuros79779
dc.identifier.issn1062-922X
dc.identifier.openurl
dc.identifier.urihttp://hdl.handle.net/10722/46610
dc.languageeng
dc.publisherIEEE.
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.rightsCreative Commons: Attribution 3.0 Hong Kong License
dc.subjectMarkov chain
dc.subjectEstimation
dc.subjectMultivariate data
dc.titleMultivariate Markov chain models
dc.typeConference_Paper