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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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01/13/2023
Hybrid Parametric Classes of Isotropic Covariance Functions for Spatial Random Fields
Covariance functions are the core of spatial statistics, stochastic proc...
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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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01/13/2021
The ℱ-family of covariance functions: A Matérn analogue for modeling random fields on spheres
The Matérn family of isotropic covariance functions has been central to ...
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07/03/2020
Karhunen-Loève Expansions for Axially Symmetric Gaussian Processes: Modeling Strategies and L^2 Approximations
Axially symmetric processes on spheres, for which the second-order depen...
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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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01/22/2019
