A Bayesian Semiparametric Approach for Solving the Discrete Calibration Problem

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dc.contributor.authorPaz Casanova, Maria
dc.contributor.authorIglesias, Pilar
dc.contributor.authorBolfarine, Heleno
dc.date.accessioned2024-01-10T12:04:05Z
dc.date.available2024-01-10T12:04:05Z
dc.date.issued2010
dc.description.abstractIn this article, we introduce a semi-parametric Bayesian approach based on Dirichlet process priors for the discrete calibration problem in binomial regression models. An interesting topic is the dosimetry problem related to the dose-response model. A hierarchical formulation is provided so that a Markov chain Monte Carlo approach is developed. The methodology is applied to simulated and real data.
dc.fechaingreso.objetodigital2024-05-08
dc.format.extent14 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1080/03610910903453427
dc.identifier.issn0361-0918
dc.identifier.urihttps://doi.org/10.1080/03610910903453427
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/75677
dc.identifier.wosidWOS:000274979200010
dc.information.autorucMatemática;Iglesias P;S/I;100265
dc.issue.numero2
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final360
dc.pagina.inicio347
dc.publisherTAYLOR & FRANCIS INC
dc.revistaCOMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
dc.rightsacceso restringido
dc.subjectBinary regression
dc.subjectDirichlet process
dc.subjectDosimetry problem
dc.subjectMCMC
dc.subjectPosterior distribution
dc.subjectNONPARAMETRIC-INFERENCE
dc.subjectBINARY REGRESSION
dc.subjectRESPONSE DATA
dc.subjectMODELS
dc.subjectBIOASSAY
dc.subjectLINK
dc.subjectDOSIMETRY
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleA Bayesian Semiparametric Approach for Solving the Discrete Calibration Problem
dc.typeartículo
dc.volumen39
sipa.codpersvinculados100265
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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