A new class of spatial covariance functions generated by higher-order kernels
Methodology
2021-11-16 v1
Abstract
Covariance functions and variograms play a fundamental role in exploratory analysis and statistical modelling of spatial and spatio-temporal datasets. In this paper, we construct a new class of spatial covariance functions using the Fourier transform of some higher-order kernels. Further, we extend this class of the spatial covariance functions to the spatio-temporal setting by using the idea used in Ma (2003).
Cite
@article{arxiv.2111.07870,
title = {A new class of spatial covariance functions generated by higher-order kernels},
author = {Mohammad Ghorbani and Jorge Mateu},
journal= {arXiv preprint arXiv:2111.07870},
year = {2021}
}