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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorAZAÏS, Romain
hal.structure.identifierLaboratoire de Mathématiques Raphaël Salem [LMRS]
dc.contributor.authorBARDET, Jean-Baptiste
hal.structure.identifierLaboratoire de Probabilités et Modèles Aléatoires [LPMA]
dc.contributor.authorGENADOT, Alexandre
hal.structure.identifierInstitut de Recherche Mathématique de Rennes [IRMAR]
dc.contributor.authorKRELL, Nathalie
hal.structure.identifierLaboratoire d'Analyse et de Mathématiques Appliquées [LAMA]
dc.contributor.authorZITT, Pierre-André
dc.date.accessioned2024-04-04T02:21:26Z
dc.date.available2024-04-04T02:21:26Z
dc.date.issued2014
dc.identifier.issn1270-900X
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/189574
dc.description.abstractEnWe give a short overview of recent results on a specific class of Markov process: the Piecewise Deterministic Markov Processes (PDMPs). We first recall the definition of these processes and give some general results. On more specific cases such as the TCP model or a model of switched vector fields, better results can be proved, especially as regards long time behaviour. We continue our review with an infinite dimensional example of neuronal activity. From the statistical point of view, these models provide specific challenges: we illustrate this point with the example of the estimation of the distribution of the inter-jumping times. We conclude with a short overview on numerical methods used for simulating PDMPs.
dc.description.sponsorshipCentre de Mathématiques Henri Lebesgue : fondements, interactions, applications et Formation - ANR-11-LABX-0020
dc.language.isoen
dc.publisherEDP Sciences
dc.subject.enErgodicity
dc.subject.enPiecewise-deterministic Markov process
dc.subject.enJump processes
dc.subject.energodicity of Markov chains
dc.subject.ennonparametric estimation
dc.subject.enSwitched dynamical systems
dc.subject.enWasserstein distance
dc.subject.enCoupling
dc.subject.ennumerical method
dc.subject.enErgodicity.
dc.typeArticle de revue
dc.identifier.doi10.1051/proc/201444017
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halStatistiques [stat]/Théorie [stat.TH]
dc.subject.halMathématiques [math]/Probabilités [math.PR]
dc.identifier.arxiv1309.6061
bordeaux.journalESAIM: Proceedings
bordeaux.page276-290
bordeaux.volume44
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00865092
hal.version1
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00865092v1
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