36 citations · 143 across the 11 of their papers we have counts for
5 papers · 1 filter
High-dimensional order-free multivariate spatial disease mapping
G. Vicente, A. Adin, T. Goicoa +1
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 c…
Evaluating recent methods to overcome spatial confounding
A. Urdangarin, T. Goicoa, M. D. Ugarte
The concept of spatial confounding is closely connected to spatial regression, although no general definition has been established. A generally accepted idea of spatial confounding…
Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences
Carlos Echegoyen, Aritz Pérez, Guzmán Santafé +2
Temporal sequences of satellite images constitute a highly valuable and abundant resource for analyzing regions of interest. However, the automatic acquisition of knowledge on a la…
A Unique Cardiac Electrophysiological 3D Model
Cristina Rueda, Alejandro Rodríguez-Collado, Itziar Fernández +3
Mathematical models of cardiac electrical activity are one of the most important tools for elucidating information about the heart diagnostic. Even though it is one of the major pr…
Big problems in spatio-temporal disease mapping: methods and software
E. Orozco-Acosta, A. Adin, M. D. Ugarte
Fitting spatio-temporal models for areal data is crucial in many fields such as cancer epidemiology. However, when data sets are very large, many issues arise. The main objective o…