Multivariate Bayesian discrimination for varietal authentication of Chilean red wine

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dc.contributor.authorGutierrez, Luis
dc.contributor.authorQuintana, Fernando A.
dc.contributor.authorvon Baer, Dietrich
dc.contributor.authorMardones, Claudia
dc.date.accessioned2024-01-10T12:40:43Z
dc.date.available2024-01-10T12:40:43Z
dc.date.issued2011
dc.description.abstractThe process through which food or beverages is verified as complying with its label description is called food authentication. We propose to treat the authentication process as a classification problem. We consider multivariate observations and propose a multivariate Bayesian classifier that extends results from the univariate linear mixed model to the multivariate case. The model allows for correlation between wine samples from the same valley. We apply the proposed model to concentration measurements of nine chemical compounds named anthocyanins in 399 samples of Chilean red wines of the varieties Merlot, Carmenere and Cabernet Sauvignon, vintages 2001-2004. We find satisfactory results, with a misclassification error rate based on a leave-one-out cross-validation approach of about 4%. The multivariate extension can be generally applied to authentication of food and beverages, where it is common to have several dependent measurements per sample unit, and it would not be appropriate to treat these as independent univariate versions of a common model.
dc.description.funderComision Nacional de Investigacion Cientifica y Tecnologica - CONICYT
dc.description.funderFONDECYT
dc.description.funderFONDEF
dc.fechaingreso.objetodigital2024-05-08
dc.format.extent11 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1080/02664763.2010.545116
dc.identifier.eissn1360-0532
dc.identifier.issn0266-4763
dc.identifier.urihttps://doi.org/10.1080/02664763.2010.545116
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/77340
dc.identifier.wosidWOS:000298922500003
dc.information.autorucMatemática;Gutierrez L ;S/I;165827
dc.information.autorucMatemática;Quintana F;S/I;100343
dc.issue.numero10
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final2109
dc.pagina.inicio2099
dc.publisherTAYLOR & FRANCIS LTD
dc.revistaJOURNAL OF APPLIED STATISTICS
dc.rightsacceso restringido
dc.subjectBayesian classifier
dc.subjectGibbs sampling
dc.subjecthierarchical linear models
dc.subjectfood authentication
dc.subjectCLASSIFICATION
dc.subjectMODEL
dc.subjectANTHOCYANINS
dc.subjectCULTIVARS
dc.subjectSELECTION
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleMultivariate Bayesian discrimination for varietal authentication of Chilean red wine
dc.typeartículo
dc.volumen38
sipa.codpersvinculados165827
sipa.codpersvinculados100343
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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