Please use this identifier to cite or link to this item:

Title: Using INLA to estimate a highly dimensional spatial model for forest fires in Portugal
Authors: Natário, Isabel
Oliveira, Manuela
Marques, Susete
Editors: Pacheco, António
Keywords: INLA
Spatial Model
Issue Date: Nov-2014
Publisher: Springer International Publishing
Citation: New Advances in Statistical Modeling and Applications
Abstract: Within the context of accessing the risk of forest fires, Amaral-Turkman et al. [1] have proposed a spatio-temporal hierarchical approach which jointly models the fire ignition probability and the fire’s size, in a Bayesian framework. This is recovered and applied to Portuguese forest fires data, with some necessary modifications in what concerns the format of the data (not available in a regular lattice over the territory) and also because of the estimation complications that arise due the high dimensionality of the neighbouring structure involved. To address the latter, as it compromises the estimation via Markov Chain Monte Carlo (MCMC) methods, and having the model be recognized as a latent Gaussian model, it was chosen to do the Bayesian estimation also using an Integrated Nested Laplace Approximation approach, with real computational advantages. Corresponding methodologies and results are described and compared.
Type: article
Appears in Collections:MAT - Artigos em Livros de Actas/Proceedings

Files in This Item:

File Description SizeFormat
NatarioOliveiraMarques.pdf197.38 kBAdobe PDFView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois