On a class of space-time intrinsic random functions
Statistics Theory
2013-03-20 v1 Statistics Theory
Abstract
Power law generalized covariance functions provide a simple model for describing the local behavior of an isotropic random field. This work seeks to extend this class of covariance functions to spatial-temporal processes for which the degree of smoothness in space and in time may differ while maintaining other desirable properties for the covariance functions, including the availability of explicit convergent and asymptotic series expansions.
Cite
@article{arxiv.1303.4620,
title = {On a class of space-time intrinsic random functions},
author = {Michael L. Stein},
journal= {arXiv preprint arXiv:1303.4620},
year = {2013}
}
Comments
Published in at http://dx.doi.org/10.3150/11-BEJ405 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)