18 citations · 18 across the 2 of their papers we have counts for
4 papers · 1 filter
Repairing covariance functions on metric trees through a Hausdorff-type distance
Alfredo Alegría
A compact metric tree is the natural domain of spatial data recorded along a river network, a root system, or the branched processes of a cell, and a suitable distance between two…
Vector-Valued Gaussian Processes and their Kernels on a Class of Metric Graphs
Tobia Filosi, Emilio Porcu, Xavier Emery +2
Despite the increasing importance of stochastic processes on linear networks and graphs, current literature on multivariate (vector-valued) Gaussian random fields on metric graphs…
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…
The dimple problem related to space-time modeling under the Lagrangian framework
Alfredo Alegria, Emilio Porcu
Space-time covariance modeling under the Lagrangian framework has been especially popular to study atmospheric phenomena in the presence of transport effects, such as prevailing wi…