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06/07/2023
Versatile Parametric Classes of Covariance Functions that Interlace Anisotropies and Hole Effects
Covariance functions are a fundamental tool for modeling the dependence ...
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04/11/2022
Rudin Extension Theorems on Product Spaces, Turning Bands, and Random Fields on Balls cross Time
Characteristic functions that are radially symmetric have a dual interpr...
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01/23/2021
The Gauss Hypergeometric Covariance Kernel for Modeling Second-Order Stationary Random Fields in Euclidean Spaces: its Compact Support, Properties and Spectral Representation
This paper presents a parametric family of compactly-supported positive ...
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01/11/2021
Flexible Validity Conditions for the Multivariate Matérn Covariance in any Spatial Dimension and for any Number of Components
Flexible multivariate covariance models for spatial data are on demand. ...
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03/30/2020
The Turning Arcs: a Computationally Efficient Algorithm to Simulate Isotropic Vector-Valued Gaussian Random Fields on the d-Sphere
Random fields on the sphere play a fundamental role in the natural scien...
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12/04/2019