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hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorDEL MORAL, Pierre
hal.structure.identifierNational University of Singapore [NUS]
dc.contributor.authorJASRA, Ajay
dc.date.accessioned2024-04-04T03:08:43Z
dc.date.available2024-04-04T03:08:43Z
dc.date.issued2016-11-21
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193551
dc.description.abstractEnIn this article we consider importance sampling (IS) and sequential Monte Carlo (SMC) methods in the context of 1-dimensional random walks with absorbing barriers. In particular, we develop a very precise variance analysis for several IS and SMC procedures. We take advantage of some explicit spectral formulae available for these models to derive sharp and explicit estimates; this provides stability properties of the associated normalized Feynman-Kac semigroups. Our analysis allows one to compare the variance of SMC and IS techniques for these models. The work in this article, is one of the few to consider an in-depth analysis of an SMC method for a particular model-type as well as variance comparison of SMC algorithms.
dc.language.isoen
dc.subject.enSequential Monte Carlo
dc.subject.enFeynman-Kac semigroups
dc.subject.enRandom walks with absorbing barriers
dc.subject.enquasi-invariant measures
dc.subject.enImportance Sampling
dc.subject.enParticle samplers
dc.title.enA Note on Random Walks with Absorbing barriers and Sequential Monte Carlo Methods
dc.typeRapport
dc.subject.halMathématiques [math]/Probabilités [math.PR]
dc.identifier.arxiv1611.03177
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.type.institutionArxiv
bordeaux.type.reportrr
hal.identifierhal-01593874
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01593874v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2016-11-21&rft.au=DEL%20MORAL,%20Pierre&JASRA,%20Ajay&rft.genre=unknown


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