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Cross-covariance functions for additive and coupled joint spatiotemporal SPDE models in R-INLA
Environmental and Ecological Statistics, 2017Models for multivariate space–time geostatistical data have received a growing interest in spatial and spatiotemporal epidemiology. However, specifying models that can capture associations within and among multivariate measurements is usually a challenge. The main goal of this paper is to introduce and review cross-covariance functions that are rich in
Kifle, Yimer Wasihun +2 more
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Spatial and Spatio-temporal Epidemiology, 2013
The publisher regrets that the printed version of the above article contained a number of errors. The correct and final version follows. The publisher would like to apologise for any inconvenience caused.
Blangiardo, Marta +3 more
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The publisher regrets that the printed version of the above article contained a number of errors. The correct and final version follows. The publisher would like to apologise for any inconvenience caused.
Blangiardo, Marta +3 more
openaire +1 more source
Geoderma, 2016
Abstract As any model for digital soil mapping suffers from different types of errors, including interpolation errors, it is important to quantify the uncertainty associated with the maps produced. The most common approach is some form of regression kriging or variation involving geostatistical simulation.
Poggio L, Gimona A, Spezia L, Brewer MJ
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Abstract As any model for digital soil mapping suffers from different types of errors, including interpolation errors, it is important to quantify the uncertainty associated with the maps produced. The most common approach is some form of regression kriging or variation involving geostatistical simulation.
Poggio L, Gimona A, Spezia L, Brewer MJ
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Predicting outflow ratios on rainfall estimation through the SPDE approach with R-INLA
Reports of the City Planning Institute of Japan, 2022Sadatsugu Nishiura +3 more
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Environmetrics
ABSTRACT Africa is one of the most vulnerable regions to climate change. However, studying climate change and its impacts in Africa is very scarce due to the limited availability and access to climate data. Although weather stations provide accurate climate measurements, they are sparse and unevenly distributed across Africa and ...
Sylvia A. Shawky +2 more
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ABSTRACT Africa is one of the most vulnerable regions to climate change. However, studying climate change and its impacts in Africa is very scarce due to the limited availability and access to climate data. Although weather stations provide accurate climate measurements, they are sparse and unevenly distributed across Africa and ...
Sylvia A. Shawky +2 more
openaire +1 more source
Anti-InlA single-domain antibodies that inhibit the cell invasion of Listeria monocytogenes
Journal of Biological Chemistry, 2023Satoru Nagatoishi +2 more
exaly
Spatial and Spatio‐temporal Bayesian Models with R‐INLA
2015Blangiardo, Marta, CAMELETTI, Michela
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