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hal.structure.identifierCommonwealth Scientific and Industrial Research Organisation [Canberra] [CSIRO]
dc.contributor.authorBISHOP, Adrian
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorDEL MORAL, Pierre
hal.structure.identifierÉcole normale supérieure de Lyon [ENS de Lyon]
dc.contributor.authorNICLAS, Angèle
dc.date.accessioned2024-04-04T03:08:44Z
dc.date.available2024-04-04T03:08:44Z
dc.date.issued2020
dc.identifier.issn0246-0203
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193554
dc.description.abstractEnMatrix differential Riccati equations are central in filtering and optimal control theory. The purpose of this article is to develop a perturbation theory for a class of stochastic matrix Riccati diffusions. Diffusions of this type arise, for example, in the analysis of ensemble Kalman-Bucy filters since they describe the flow of certain sample covariance estimates. In this context, the random perturbations come from the fluctuations of a mean field particle interpretation of a class of nonlinear diffusions equipped with an interacting sample covariance matrix functional. The main purpose of this article is to derive non-asymptotic Taylor-type expansions of stochastic matrix Riccati flows with respect to some perturbation parameter. These expansions rely on an original combination of stochastic differential analysis and nonlinear semigroup techniques on matrix spaces. The results here quantify the fluctuation of the stochastic flow around the limiting deterministic Riccati equation, at any order. The convergence of the interacting sample covariance matrices to the deterministic Riccati flow is proven as the number of particles tends to infinity. Also presented are refined moment estimates and sharp bias and variance estimates. These expansions are also used to deduce a functional central limit theorem at the level of the diffusion process in matrix spaces.
dc.language.isoen
dc.publisherInstitut Henri Poincaré (IHP)
dc.title.enA perturbation analysis of stochastic matrix Riccati diffusions
dc.typeArticle de revue
dc.identifier.doi10.1214/19-AIHP987
dc.subject.halMathématiques [math]/Probabilités [math.PR]
dc.identifier.arxiv1709.05071
bordeaux.journalAnnales de l'Institut Henri Poincaré (B) Probabilités et Statistiques
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.type.institutionArxiv
bordeaux.peerReviewedoui
bordeaux.type.reportrr
hal.identifierhal-01593830
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01593830v1
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