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dc.contributor.authorVicent, Antonio
dc.contributor.authorMartínez-Minaya, Joaquín
dc.contributor.authorLópez-Quílez, Antonio
dc.contributor.authorConesa, David
dc.date.accessioned2018-05-05T17:21:21Z
dc.date.available2018-05-05T17:21:21Z
dc.date.issued2017es
dc.identifier.citationVicent, A., Martínez-Minaya, J., López-Quílez, A., Conesa, D. (2017). Bayesian hierarchical modelling of the olive quick decline syndrome in south-eastern Italy. In 1th VIBASS Workshop. Valencia International Bayesian Analysis Summer School, Valencia, Spain.es
dc.identifier.urihttp://hdl.handle.net/20.500.11939/5794
dc.description.abstractIn the last years, the use of complex statistical models has increased to improve our knowledge on the spread of diseases and the distribution of species, being of great interest in plant disease epidemiology. The complexity of these models makes the inferential and predictive processes challenging to perform. Bayesian statistics represents a good alternative, because it is based on the premise that both information and uncertainty can be expressed in terms of probability distributions. Despite the advantages of Bayesian inference, the main challenge is to find an analytic expression for posterior distributions of the parameters and hyperparameters. Several numeric approaches have been proposed, such as Markov chain Monte Carlo methods (MCMC) and integrated nested Laplace approximation (INLA). Here, we present different spatio-temporal analyses using INLA for the geographical spread of the olive quick decline syndrome, a lethal plant disease caused by the bacterium Xylella fastidiosa in south-eastern Italy.
dc.language.isoenes
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.titleBayesian hierarchical modelling of the olive quick decline syndrome in south-eastern Italyes
dc.typeconferenceObjectes
dc.authorAddressInstituto Valenciano de Investigaciones Agrarias (IVIA), Carretera CV-315, Km. 10’7, 46113 Moncada (Valencia), Españaes
dc.entidadIVIACentro de Protección Vegetal y Biotecnologíaes
dc.identifier.urlhttp://vabar.es/assets/vibass17/abstracts_book.pdf#page=27
dc.relation.conferenceName1th VIBASS Workshop. Valencia International Bayesian Analysis Summer Schooles
dc.relation.conferencePlaceValencia, Spaines
dc.source.typeelectronicoes


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