Influential observations in the functional measurement error model

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dc.catalogadorpva
dc.contributor.authorVidal García, Ignacio
dc.contributor.authorIglesias Zuazola, Pilar Loreto
dc.contributor.authorGalea Rojas, Manuel Jesús
dc.date.accessioned2024-04-15T16:33:25Z
dc.date.available2024-04-15T16:33:25Z
dc.date.issued2007
dc.description.abstractIn this work we propose Bayesian measures to quantify the influence of observationson the structural parameters of the simple measurement error model (MEM). Different influencemeasures, like those based onq-divergence between posterior distributions and Bayes risk, are studiedto evaluate the influence. A strategy based on the perturbation function and MCMC samples is usedto compute these measures. The samples from the posterior distributions are obtained by using theMetropolis–Hastings algorithm and assuming specific proper prior distributions. The results areillustrated with an application to a real example modeled with MEM in the literature.
dc.description.funderOtro
dc.fechaingreso.objetodigital2024-04-15
dc.fuente.origenHistorial Académico
dc.identifier.citationInfluential observations in the functional measurement error model. Journal Of Applied Statistics. 2007;34:1165-1183.
dc.identifier.doi10.1080/02664760701592703
dc.identifier.issn0266-4763
dc.identifier.urihttps://doi.org/10.1080/02664760701592703
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/85121
dc.information.autorucFacultad de Matemáticas; Vidal García, Ignacio; S/I; 102064
dc.information.autorucFacultad de Matemáticas; Iglesias Zuazola, Pilar Loreto; S/I; 100265
dc.information.autorucFacultad de Matemáticas; Galea Rojas, Manuel Jesús; 0000-0001-9819-5843; 1008589
dc.issue.numero10
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final1183
dc.pagina.inicio1165
dc.revistaJournal of Applied Statistics
dc.rightsacceso restringido
dc.subjectMEM
dc.subjectInfluence measures
dc.subjectBayes risk
dc.subjectq-divergence
dc.subjectPerturbation
dc.subjectFunction
dc.subjectMetropolis–Hastings
dc.subjectGibbs sampling
dc.subjecten
dc.subject.ddc510
dc.subject.deweyMatemática física y químicaes_ES
dc.titleInfluential observations in the functional measurement error model
dc.typeartículo
dc.volumen34
sipa.codpersvinculados102064
sipa.codpersvinculados100265
sipa.codpersvinculados1008589
sipa.trazabilidadHistorial Académico;09-07-2021
sipa.trazabilidadORCID;2024-04-15
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