3 papers
stat.ME2024
Neural Networks for Parameter Estimation in Geometrically Anisotropic Geostatistical Models
Alejandro Villazón, Alfredo Alegría, Xavier Emery
This article presents a neural network approach for estimating the covariance function of spatial Gaussian random fields defined in a portion of the Euclidean plane. Our proposal b…
math.ST2024
Computationally Efficient Algorithms for Simulating Isotropic Gaussian Random Fields on Graphs with Euclidean Edges
Alfredo Alegría, Xavier Emery, Tobia Filosi +1
This work addresses the problem of simulating Gaussian random fields that are continuously indexed over a class of metric graphs, termed graphs with Euclidean edges, being more gen…
math.ST2023
Versatile Parametric Classes of Covariance Functions that Interlace Anisotropies and Hole Effects
Alfredo Alegría, Xavier Emery
Covariance functions are a fundamental tool for modeling the dependence structure of spatial processes. This work investigates novel constructions for covariance functions that ena…