36 citations · 143 across the 11 of their papers we have counts for
10 papers
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models
A. Urdangarin, T. Goicoa, T. Kneib +1
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…
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…
Scalable Bayesian modeling for smoothing disease risks in large spatial data sets
E. Orozco-Acosta, A. Adin, M. D. Ugarte
Several methods have been proposed in the spatial statistics literature for the analysis of big data sets in continuous domains. However, new methods for analyzing high-dimensional…
Alleviating confounding in spatio-temporal areal models with an application on crimes against women in India
A. Adin, T. Goicoa, J. S. Hodges +2
Assessing associations between a response of interest and a set of covariates in spatial areal models is the leitmotiv of ecological regression. However, the presence of spatially…
RGISTools: Downloading, Customizing, and Processing Time Series of Remote Sensing Data in R
U. Pérez-Goya, M. Montesino-SanMartin, A. F. Militino +1
There is a large number of data archives and web services offering free access to multispectral satellite imagery. Images from multiple sources are increasingly combined to improve…
Discussion of "Single and Two-Stage Cross-Sectional and Time Series Benchmarking Procedures for SAE"
Rebecca C. Steorts, M. Delores Ugarte
We congratulate the authors for a stimulating and valuable manuscript, providing a careful review of the state-of the-art in cross-sectional and time-series benchmarking procedures…