49 citations · 243 across the 39 of their papers we have counts for
4 papers · 2 filters
Modeling Temporally Evolving and Spatially Globally Dependent Data
Emilio Porcu, Alfredo Alegría, Reinhard Furrer
The last decades have seen an unprecedented increase in the availability of data sets that are inherently global and temporally evolving, from remotely sensed networks to climate m…
Asymmetric Matrix-Valued Covariances for Multivariate Random Fields on Spheres
Alfredo Alegría, Emilio Porcu, Reinhard Furrer
Matrix-valued covariance functions are crucial to geostatistical modeling of multivariate spatial data. The classical assumption of symmetry of a multivariate covariance function i…
Space-Time Geostatistical Models with both Linear and Seasonal Structures in the Temporal Components
Alfredo Alegría, Emilio Porcu
We provide a novel approach to model space-time random fields where the temporal argument is decomposed into two parts. The former captures the linear argument, which is related, f…
Covariance Functions for Multivariate Gaussian Fields Evolving Temporally over Planet Earth
Alfredo Alegría, Emilio Porcu, Reinhard Furrer +1
The construction of valid and flexible cross-covariance functions is a fundamental task for modeling multivariate space-time data arising from climatological and oceanographical ph…