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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierAdvanced Learning Evolutionary Algorithms [ALEA]
dc.contributor.authorDEL MORAL, Pierre
hal.structure.identifierDept of Statistics & Dept of Computer Science
dc.contributor.authorDOUCET, Arnaud
hal.structure.identifierCavendish Laboratory
dc.contributor.authorSINGH, Sumeetpal
dc.date.created2009
dc.date.issued2010
dc.identifier.issn0764-583X
dc.description.abstractEnWe design a particle interpretation of Feynman-Kac measures on path spaces based on a backward Markovian representation combined with a traditional mean field particle interpretation of the flow of their final time marginals. In contrast to traditional genealogical tree based models, these new particle algorithms can be used to compute normalized additive functionals on-the-fly as well as their limiting occupation measures with a given precision degree that does not depend on the final time horizon. We provide uniform convergence results w.r.t. the time horizon parameter as well as functional central limit theorems and exponential concentration estimates, yielding what seems to be the first results of this type for this class of models. We also illustrate these results in the context of computational physics and imaginary time Schroedinger type partial differential equations, with a special interest in the numerical approximation of the invariant measure associated to h-processes.
dc.description.sponsorshipSécurité et fiabilité des techniques de tatouages - ANR-06-SETI-0009
dc.language.isoen
dc.publisherEDP Sciences
dc.subject.ennon asymptotic estimates
dc.subject.enFeynman-Kac models
dc.subject.enmean field particle algorithms
dc.subject.enfunctional central limit theorems
dc.subject.enexponential concentration
dc.subject.ennon asymptotic estimates.
dc.title.enA Backward Particle Interpretation of Feynman-Kac Formulae
dc.typeArticle de revue
dc.identifier.doi10.1051/m2an/2010048
dc.subject.halMathématiques [math]/Probabilités [math.PR]
bordeaux.journalESAIM: Mathematical Modelling and Numerical Analysis
bordeaux.page947-975
bordeaux.volume44
bordeaux.issue5
bordeaux.peerReviewedoui
bordeaux.type.reportrr
hal.identifierinria-00410165
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00410165v1
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