NAGIOS: RODERIC FUNCIONANDO

Bayesian hierarchical models for analysing the spatial distribution of bioclimatic indices

Repositori DSpace/Manakin

IMPORTANT: Aquest repositori està en una versió antiga des del 3/12/2023. La nova instal.lació está en https://roderic.uv.es/

Bayesian hierarchical models for analysing the spatial distribution of bioclimatic indices

dc.contributor.author	Barber, Xavier
dc.contributor.author	Conesa Guillén, David
dc.contributor.author	López Quílez, Antonio
dc.contributor.author	Mayoral, Asunción
dc.contributor.author	Morales, Javier
dc.contributor.author	Barber, Antoni
dc.date.accessioned	2018-02-08T15:49:43Z
dc.date.available	2018-02-08T15:49:43Z
dc.date.issued	2017
dc.identifier.citation	Barber, Xavier Conesa Guillén, David López Quílez, Antonio Mayoral, Asunción Morales, Javier Barber, Antoni 2017 Bayesian hierarchical models for analysing the spatial distribution of bioclimatic indices Sort-Statistics And Operations Research Transactions 41 2 277 296
dc.identifier.uri	http://hdl.handle.net/10550/64633
dc.description.abstract	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 spatial bioclimatic probability distribution of each bioclimatic index, which allows researchers to obtain the probability of each location belonging to different bioclimates. The methodology is evaluated on two indices in the Island of Cyprus.
dc.language.iso	eng
dc.relation.ispartof	Sort-Statistics And Operations Research Transactions, 2017, vol. 41, num. 2, p. 277-296
dc.subject	Estadística bayesiana
dc.subject	Bioclimatologia
dc.title	Bayesian hierarchical models for analysing the spatial distribution of bioclimatic indices
dc.type	journal article	es_ES
dc.date.updated	2018-02-08T15:49:43Z
dc.identifier.doi	10.2436/20.8080.02.60
dc.identifier.idgrec	119915
dc.rights.accessRights	open access	es_ES