8 citations · 9 across the 4 of their papers we have counts for
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math.ST2017
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…
math.ST2017★ 8 cited
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…