33 citations
5 papers
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…
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…
Lipschitz algebras and Lipschitz-free spaces over unbounded metric spaces
Fernando Albiac, Jose L. Ansorena, Marek Cuth +1
We present a way to turn an arbitrary (unbounded) metric space into a bounded metric space in such a way that the corresponding Lipschitz-free spaces $\…