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hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorAZAÏS, Romain
dc.date.accessioned2024-04-04T02:23:58Z
dc.date.available2024-04-04T02:23:58Z
dc.date.created2012-11-23
dc.date.issued2014
dc.identifier.issn1292-8100
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/189781
dc.description.abstractEnIn this paper, we investigate a nonparametric approach to provide a recursive estimator of the transition density of a non-stationary piecewise-deterministic Markov process, from only one observation of the path within a long time. In this framework, we do not observe a Markov chain with transition kernel of interest. Fortunately, one may write the transition density of interest as the ratio of the invariant distributions of two embedded chains of the process. Our method consists in estimating these invariant measures. We state a result of consistency under some general assumptions about the main features of the process. A simulation study illustrates the well asymptotic behavior of our estimator.
dc.language.isoen
dc.publisherEDP Sciences
dc.title.enA recursive nonparametric estimator for the transition kernel of a piecewise-deterministic Markov process
dc.typeArticle de revue
dc.identifier.doi10.1051/ps/2013054
dc.subject.halStatistiques [stat]/Théorie [stat.TH]
dc.identifier.arxiv1211.5579
bordeaux.journalESAIM: Probability and Statistics
bordeaux.page726-749
bordeaux.volume18
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00759065
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00759065v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=ESAIM:%20Probability%20and%20Statistics&rft.date=2014&rft.volume=18&rft.spage=726-749&rft.epage=726-749&rft.eissn=1292-8100&rft.issn=1292-8100&rft.au=AZA%C3%8FS,%20Romain&rft.genre=article


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