Versatile Parametric Classes of Covariance Functions that Interlace Anisotropies and Hole Effects
Alfredo Alegria,
Xavier Emery
Abstract:Covariance functions are a fundamental tool for modeling the dependence structure of spatial random fields. This work investigates novel constructions for covariance functions that enable the integration of anisotropies and hole effects in complex and versatile ways, having the potential to provide more accurate representations of dependence structures arising with real-world data.We show that these constructions extend widely used covariance models, including the Matérn, Cauchy, compactly-supported hypergeome… Show more
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