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hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorDEL MORAL, Pierre
hal.structure.identifierInstitut Élie Cartan de Lorraine [IECL]
dc.contributor.authorKURTZMANN, Aline
hal.structure.identifierProbabilités, statistique, physique mathématique [PSPM]
dc.contributor.authorTUGAUT, Julian
dc.date.accessioned2024-04-04T03:14:31Z
dc.date.available2024-04-04T03:14:31Z
dc.date.issued2017
dc.identifier.issn0363-0129
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194064
dc.description.abstractEnThis article is concerned with the exponential stability and the uniform propagation of chaos properties of a class of Extended Ensemble Kalman-Bucy filters with respect to the time horizon. This class of nonlinear filters can be interpreted as the conditional expectations of nonlinear McKean Vlasov type diffusions with respect to the observation process. In contrast with more conventional Langevin nonlinear drift type processes, the mean field interaction is encapsulated in the covariance matrix of the diffusion. The main results discussed in the article are quantitative estimates of the exponential stability properties of these nonlinear diffusions. These stability properties are used to derive uniform and non asymptotic estimates of the propagation of chaos properties of Extended Ensemble Kalman filters, including exponential concentration inequalities. To our knowledge these results seem to be the first results of this type for this class of nonlinear ensemble type Kalman-Bucy filters.
dc.language.isoen
dc.publisherSociety for Industrial and Applied Mathematics
dc.subject.enpropagation of chaos properties
dc.subject.enEnsemble Kalman filters
dc.subject.enExtended Kalman-Bucy filter
dc.subject.enmean field particle systems
dc.subject.enstochastic Riccati matrix equation
dc.subject.enuniform estimates
dc.subject.enMonte Carlo methods
dc.title.enOn the stability and the uniform propagation of chaos of Extended Ensemble Kalman-Bucy filters
dc.typeArticle de revue
dc.identifier.doi10.1137/16M1087497
dc.subject.halMathématiques [math]/Probabilités [math.PR]
dc.identifier.arxiv1606.08256.pdf
bordeaux.journalSIAM Journal on Control and Optimization
bordeaux.page119-155
bordeaux.volume55
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue1
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01337716
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01337716v1
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