Results 11 to 20 of about 8,734 (183)
Joint modeling and prediction of massive spatio-temporal wildfire count and burnt area data with the INLA-SPDE approach [PDF]
This paper describes the methodology used by the team RedSea in the data competition organized for EVA 2021 conference. We develop a novel two-part model to jointly describe the wildfire count data and burnt area data provided by the competition ...
Zhongwei Zhang +4 more
semanticscholar +5 more sources
Modeled damage estimates are an important source of information in the hours to weeks following major earthquake disasters, but often lack sufficient spatial resolution for highlighting specific areas of need.
B. Wilson
semanticscholar +5 more sources
Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach [PDF]
This paper proposes a two-stage estimation approach for a spatial misalignment scenario that is motivated by the epidemiological problem of linking pollutant exposures and health outcomes.
S. J. Villejo, J. Illian, B. Swallow
semanticscholar +5 more sources
Bayesian Spatial Modelling with R-INLA [PDF]
The principles behind the interface to continuous domain spatial models in the R- INLA software package for R are described. The integrated nested Laplace approximation (INLA) approach proposed by Rue, Martino, and Chopin (2009) is a computationally ...
Finn Lindgren, Håvard Rue
doaj +4 more sources
Bayesian spatial modelling of Ebola outbreaks in Democratic Republic of Congo through the INLA-SPDE approach [PDF]
Ebola virus (EBV) disease is globally acknowledged public health emergence, which is endemic in the West and equatorial Africa. To understand the epidemiology especially the dynamic pattern of EBV disease, we analyse the EBV case notification data for ...
E. Gayawan +4 more
semanticscholar +5 more sources
Ebola virus (EBV) disease is a globally acknowledged public health emergency, endemic in the west and equatorial Africa. To understand the epidemiology especially the dynamic pattern of EBV disease, we analyse the EBV case notification data for confirmed
E. Gayawan +4 more
semanticscholar +2 more sources
Estimating ambient air pollutant levels in Suzhou through the SPDE approach with R-INLA
Spatio–temporal models of ambient air pollution can be used to predict pollutant levels across a geographical region. These predictions may then be used as estimates of exposure for individuals in analyses of the health effects of air pollution ...
N. Wright +5 more
semanticscholar +3 more sources
The impact of choosing different meshes under INLA/SPDE framework for geostatistical modelling [PDF]
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semanticscholar +2 more sources

