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hal.structure.identifierAdvanced Learning Evolutionary Algorithms [ALEA]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDEL MORAL, Pierre
hal.structure.identifierLaboratoire Jean Alexandre Dieudonné [JAD]
dc.contributor.authorPATRAS, Frédéric
hal.structure.identifierLaboratoire Jean Alexandre Dieudonné [JAD]
dc.contributor.authorRUBENTHALER, Sylvain
dc.contributor.editorDan Crisan, Boris L. Rozovskii
dc.date.issued2011
dc.identifier.isbn978-0-19-953290-2
dc.description.abstractEnWe present a mean field particle theory for the numerical approximation of Feynman-Kac path integrals in the context of nonlinear filtering. We show that the conditional distribution of the signal paths given a series of noisy and partial observation data is approximated by the occupation measure of a genealogical tree model associated with mean field interacting particle model. The complete historical model converges to the McKean distribution of the paths of a nonlinear Markov chain dictated by the mean field interpretation model. We review the stability properties and the asymptotic analysis of these interacting processes, including fluctuation theorems and large deviation principles. We also present an original Laurent type and algebraic tree-based integral representations of particle block distributions. These sharp and non asymptotic propagations of chaos properties seem to be the first result of this type for mean field and interacting particle systems.
dc.language.isoen
dc.publisherOxford University Press
dc.source.titleThe Oxford Handbook of Nonlinear Filtering
dc.subject.enFeynman-Kac measures
dc.subject.ennonlinear filtering
dc.subject.eninteracting particle systems
dc.subject.enhistorical and genealogical tree models
dc.subject.encentral limit theorems
dc.subject.enGaussian fields
dc.subject.enpropagations of chaos
dc.subject.entrees and forests
dc.subject.encombinatorial enumeration
dc.title.enA Mean field theory of nonlinear filtering
dc.typeChapitre d'ouvrage
dc.subject.halMathématiques [math]/Probabilités [math.PR]
bordeaux.page705-740
bordeaux.title.proceedingThe Oxford Handbook of Nonlinear Filtering
hal.identifierinria-00537331
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00537331v1
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