Search results for " 62P12"

showing 2 items of 2 documents

Bayesian hierarchical models for analysing the spatial distribution of bioclimatic indices

2017

A methodological approach for modelling the spatial distribution of bioclimatic indices is proposed in this paper. The value of the bioclimatic index is modelled with a hierarchical Bayesian model that incorporates both structured and unstructured random effects. Selection of prior distributions is also discussed in order to better incorporate any possible prior knowledge about the parameters that could refer to the particular characteristics of bioclimatic indices. MCMC methods and distributed programming are used to obtain an approximation of the posterior distribution of the parameters and also the posterior predictive distribution of the indices. One main outcome of the proposal is the …

Bioclimatologia:62 Statistics::62M Inference from stochastic processes [Classificació AMS]BioclimatologyBioclimatology geostatistics parallel computation spatial prediction:62 Statistics::62P Applications [Classificació AMS]62F15 62M30 62P10 62P12 86A32Estadística bayesiana:Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC]spatial prediction:62 Statistics::62F Parametric inference [Classificació AMS]geostatistics:86 Geophysics [Classificació AMS]parallel computation
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Bayesian correlated models for assessing the prevalence of viruses in organic and non-organic agroecosystems

2017

Cultivation of horticultural species under organic management has increased in importance in recent years. However, the sustainability of this new production method needs to be supported by scientific research, especially in the field of virology. We studied the prevalence of three important virus diseases in agroecosystems with regard to its management system: organic versus non-organic, with and without greenhouse. Prevalence was assessed by means of a Bayesian correlated binary model which connects the risk of infection of each virus within the same plot and was defined in terms of a logit generalized linear mixed model (GLMM). Model robustness was checked through a sensitivity analysis …

Hellinger distancesensitivity analysisHellinger distance model robustness risk infection sensitivity analysis virus epidemiology:Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC]:62 Statistics::62F Parametric inference [Classificació AMS]:62 Statistics::62J Linear inference regression [Classificació AMS]model robustnessvirus epidemiology:62 Statistics::62P Applications [Classificació AMS]62-07 62F15 62J12 62P10 62P12risk infectionSORT- Statistics and Operations Research Transactions
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