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hal.structure.identifierAustralian National University [ANU]
hal.structure.identifierCommonwealth Scientific and Industrial Research Organisation [Canberra] [CSIRO]
dc.contributor.authorANDERSON, Brian
hal.structure.identifierUniversity of Technology Sydney [UTS]
dc.contributor.authorBISHOP, Adrian
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorDEL MORAL, Pierre
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorPALMIER, Camille
dc.date.accessioned2024-04-04T02:59:21Z
dc.date.available2024-04-04T02:59:21Z
dc.date.issued2019-10-31
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192736
dc.description.abstractEnWe present a backward diffusion flow (i.e. a backward-in-time stochastic differential equation) whose marginal distribution at any (earlier) time is equal to the smoothing distribution when the terminal state (at a latter time) is distributed according to the filtering distribution. This is a novel interpretation of the smoothing solution in terms of a nonlinear diffusion (stochastic) flow. This solution contrasts with, and complements, the (backward) deterministic flow of probability distributions (viz. a type of Kushner smoothing equation) studied in a number of prior works. A number of corollaries of our main result are given including a derivation of the time-reversal of a stochastic differential equation, and an immediate derivation of the classical Rauch-Tung-Striebel smoothing equations in the linear setting.
dc.language.isoen
dc.subject.enNonlinear filtering and smoothing
dc.subject.enKalman-Bucy filter
dc.subject.enRauch-Tung-Striebel smoother
dc.subject.enParticle filtering and smoothing
dc.subject.enDiffusion equations
dc.subject.enStochastic semigroups
dc.subject.enBackward stochastic integration
dc.subject.enBackward Itô-Ventzell formula
dc.subject.enTme-reversed stochastic differential equations
dc.subject.enZakai and Kushner-Stratonovich equations
dc.title.enBackward Nonlinear Smoothing Diffusions
dc.typeRapport
dc.subject.halMathématiques [math]/Probabilités [math.PR]
dc.subject.halMathématiques [math]/Optimisation et contrôle [math.OC]
dc.identifier.arxiv1910.14511
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.type.institutionANU; UTS; INRIA; IMB.
bordeaux.type.reportrr
hal.identifierhal-02342600
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02342600v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2019-10-31&rft.au=ANDERSON,%20Brian&BISHOP,%20Adrian&DEL%20MORAL,%20Pierre&PALMIER,%20Camille&rft.genre=unknown


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