Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.5/5956
Título: Spatial extremes of wildfire sizes: Bayesian hieralquical models for extremes
Autor: Mendes, Jorge M.
Bermudez, Patricia Cortés de Zea
Pereira, J.M.C.
Turkman, K.F.
Vasconcelos, M.J.P.
Palavras-chave: Bayesian hierarchical models
generalized Pareto distribution
spatial and temporal processes
MCMC
Data: 2010
Editora: Springer
Citação: "Environmental and Ecological Statistics". ISSN 1352-8505. 17 (2010) 1-28
Resumo: In Portugal, due to the combination of climatological and ecological factors, large wildfires are a constant threat and due to their economic impact, a big policy issue. In order to organize efficient fire fighting capacity and resource management, correct quantification of the risk of large wildfires are needed. In this paper, we quantify the regional risk of large wildfire sizes, by fitting a Generalized Pareto distribution to excesses over a suitably chosen high threshold. Spatio-temporal variations are introduced into the model through model parameters with suitably chosen link functions. The inference on these models are carried using Bayesian Hierarchical Models and Markov chain Monte Carlo methods.
Peer review: yes
URI: http://hdl.handle.net/10400.5/5956
ISSN: 1352-8505
Versão do Editor: DOI 10.1007/s10651-008-0099-3
Aparece nas colecções:CEF - Artigos de Revistas

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
REP-2008-98.pdf3,38 MBAdobe PDFVer/Abrir


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.