Afficher la notice abrégée

hal.structure.identifierCentre de Recherche en Économie et Statistique [CREST]
hal.structure.identifierÉcole Nationale de la Statistique et de l'Administration Économique [ENSAE Paris]
dc.contributor.authorCHOPIN, Nicolas
hal.structure.identifierAdvanced Learning Evolutionary Algorithms [ALEA]
dc.contributor.authorDEL MORAL, Pierre
hal.structure.identifierLaboratoire Jean Alexandre Dieudonné [JAD]
dc.contributor.authorRUBENTHALER, Sylvain
dc.date.created2009
dc.description.abstractEnSeveral particle algorithms admit a Feynman-Kac representation such that the potential function may be expressed as a recursive function which depends on the complete state trajectory. An important example is the mixture Kalman filter, but other models and algorithms of practical interest fall in this category. We study the asymptotic stability of such particle algorithms as time goes to infinity. As a corollary, practical conditions for the stability of the mixture Kalman filter, and a mixture GARCH filter, are derived. Finally, we show that our results can also lead to weaker conditions for the stability of standard particle algorithms, such that the potential function depends on the last state only.
dc.description.sponsorshipMéthodes de Monte Carlo en grande dimension - ANR-08-BLAN-0218
dc.language.isoen
dc.subject.enFeynman-Kac formulae
dc.subject.enmixture Kalman filter
dc.subject.enpath-dependent potential function
dc.subject.enParticle filter
dc.title.enStability of Feynman-Kac formulae with path-dependent potentials
dc.typeDocument de travail - Pré-publication
dc.subject.halMathématiques [math]/Probabilités [math.PR]
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halStatistiques [stat]/Théorie [stat.TH]
dc.identifier.arxiv0910.4870
hal.identifierhal-00426415
hal.version1
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00426415v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=CHOPIN,%20Nicolas&DEL%20MORAL,%20Pierre&RUBENTHALER,%20Sylvain&rft.genre=preprint


Fichier(s) constituant ce document

FichiersTailleFormatVue

Il n'y a pas de fichiers associés à ce document.

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée