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High-dimensional order-free multivariate spatial disease mapping
(Springer, 2023)
Artículo / Artikulua,
Despite the amount of research on disease mapping in recent years, the use of multivariate models for areal spatial data remains
limited due to difficulties in implementation and computational burden. These problems are ...
Multivariate Bayesian spatio-temporal P-spline models to analyze crimes against women
(Oxford University Press, 2021)
Artículo / Artikulua,
Univariate spatio-temporal models for areal count data have received great attention in recent years for estimating risks. However, models for studying multivariate responses are less commonly used mainly due to the ...
Temporal evolution of brain cancer incidence in the municipalities of Navarre and the Basque Country, Spain
(BioMed Central, 2015)
Artículo / Artikulua,
Background: Brain cancer incidence rates in Spain are below the European’s average. However, there are two
regions in the north of the country, Navarre and the Basque Country, ranked among the European regions with ...
A unique cardiac electrocardiographic 3D model. Toward interpretable AI diagnosis
(Elsevier, 2022)
Artículo / Artikulua,
Mathematical models of cardiac electrical activity are one of the most important tools for elucidating information about heart diagnostics. In this paper, we present an efficient mathematical formulation for this modeling ...
A scalable approach for short-term disease forecasting in high spatial resolution areal data
(Wiley-VCH, 2023)
Artículo / Artikulua,
Short-term disease forecasting at specific discrete spatial resolutions has become a high-impact decision-support tool in health planning. However, when the number of areas is very large obtaining predictions can be ...
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models
(Elsevier, 2024)
Artículo / Artikulua,
Spatial areal models encounter the well-known and challenging problem of spatial confounding. This issue makes it arduous to distinguish between the impacts of observed covariates and spatial random effects. Despite previous ...
Steering the synthesis of Fe3O4 nanoparticles under sonication by using a fractional factorial design
(Elsevier, 2021)
info:eu-repo/semantics/article,
Superparamagnetic iron oxide nanoparticles (MNPs) have the potential to act as heat sources in magnetic hyperthermia. The key parameter for this application is the specific absorption rate (SAR), which must be as large as ...
Stochastic spatio-temporal models for analysing NDVI distribution of GIMMS NDVI3g images
(MDPI, 2017)
Artículo / Artikulua,
The normalized difference vegetation index (NDVI) is an important indicator for evaluating vegetation change, monitoring land surface fluxes or predicting crop models. Due to the great availability of images provided by ...
Predicting cancer incidence in regions without population-based cancer registries using mortality
(Oxford University Press, 2023)
Artículo / Artikulua,
Cancer incidence numbers are routinely recorded by national or regional population-based cancer registries (PBCRs). However, in most southern European countries, the local PBCRs cover only a fraction of the country. ...
Logistic regression versus XGBoost for detecting burned areas using satellite images
(Springer, 2024)
Artículo / Artikulua,
Classical statistical methods prove advantageous for small datasets, whereas machine learning algorithms can excel with larger datasets. Our paper challenges this conventional wisdom by addressing a highly significant ...