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hal.structure.identifierLaboratoire de Mathématiques Jean Leray [LMJL]
dc.contributor.authorGALHARRET, Jean-Michel
hal.structure.identifierLaboratoire de Mathématiques Jean Leray [LMJL]
dc.contributor.authorPHILIPPE, Anne
hal.structure.identifierArchéosciences Bordeaux
dc.contributor.authorMERCIER, Norbert
dc.date.issued2021
dc.description.abstractEnThe event model was proposed by Lanos and Philippe (2018) to combine measurements in the context of archaeological chronological dating. We extend this model to luminescence dating and define a new strategy to detect outliers from the hyperparameters of the event model. This procedure is applied to the combination of Gaussian measurements and luminescence age estimation. We illustrate through simulations that it is preferable, in terms of accuracy and precision, to exclude detected outliers rather than use the robust estimation method (e.g. the event model).
dc.language.isoen
dc.publisherESE - Salento University Publishing
dc.subject.enapplication to luminescence dating method
dc.subject.enevent hierarchical model
dc.subject.enoutliers
dc.title.enDetection of outliers with a Bayesian hierarchical model: application to the single-grain luminescence dating method.
dc.typeArticle de revue
dc.identifier.doi10.1285/i20705948v14n2p318
dc.subject.halStatistiques [stat]
bordeaux.journalElectronic Journal of Applied Statistical Analysis
bordeaux.peerReviewedoui
hal.identifierhal-04322635
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04322635v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Electronic%20Journal%20of%20Applied%20Statistical%20Analysis&rft.date=2021&rft.au=GALHARRET,%20Jean-Michel&PHILIPPE,%20Anne&MERCIER,%20Norbert&rft.genre=article


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