Bounding the equilibrium distribution of Markov population models

dc.citation.epage946en_US
dc.citation.issueNumber6en_US
dc.citation.spage931en_US
dc.citation.volumeNumber18en_US
dc.contributor.authorDayar T.en_US
dc.contributor.authorHermanns, H.en_US
dc.contributor.authorSpieler, D.en_US
dc.contributor.authorWolf, V.en_US
dc.date.accessioned2015-07-28T12:05:46Z
dc.date.available2015-07-28T12:05:46Z
dc.date.issued2011-10-18en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractWe propose a bounding technique for the equilibrium probability distribution of continuous-time Markov chains with population structure and infinite state space. We use Lyapunov functions to determine a finite set of states that contains most of the equilibrium probability mass. Then we apply a refinement scheme based on stochastic complementation to derive lower and upper bounds on the equilibrium probability for each state within that set. To show the usefulness of our approach, we present experimental results for several examples from biology. Copyright © 2011 John Wiley & Sons, Ltd.en_US
dc.description.provenanceMade available in DSpace on 2015-07-28T12:05:46Z (GMT). No. of bitstreams: 1 10.1002-nla.795.pdf: 721992 bytes, checksum: c8db3c39f25c25fcb1bd648fe407af43 (MD5)en
dc.identifier.doi10.1002/nla.795en_US
dc.identifier.issn1099-1506
dc.identifier.urihttp://hdl.handle.net/11693/13333
dc.language.isoEnglishen_US
dc.publisherWiley-Blackwell Publishing Ltd.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1002/nla.795en_US
dc.source.titleNumerical Linear Algebra with Applicationsen_US
dc.subjectGeometric boundsen_US
dc.subjectStochastic complementen_US
dc.subjectLyapunov functionen_US
dc.subjectEquilibrium probability distributionen_US
dc.subjectContinuous - time Markov chainen_US
dc.titleBounding the equilibrium distribution of Markov population modelsen_US
dc.typeArticleen_US

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