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Theory of Probability and Mathematical Statistics

ISSN 1547-7363(online) ISSN 0094-9000(print)

   
 
 

 

Series representations and simulations of isotropic random fields in the Euclidean space


Authors: Z. Ma and C. Ma
Journal: Theor. Probability and Math. Statist. 105 (2021), 93-111
MSC (2020): Primary 60G60, 62M40; Secondary 33C10, 33C45
DOI: https://doi.org/10.1090/tpms/1158
Published electronically: December 7, 2021
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Abstract | References | Similar Articles | Additional Information

Abstract: This paper introduces the series expansion for homogeneous, isotropic and mean square continuous random fields in the Euclidean space, which involves the Bessel function and the ultraspherical polynomial, but differs from the spectral representation in terms of the ordinary spherical harmonics that has more terms at each level.The series representation provides a simple and efficient approach for simulation of isotropic (non-Gaussian) random fields.


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Additional Information

Z. Ma
Affiliation: Liberty Mutual Insurance, Boston, Massachusetts
Email: zhengweima@gmail.com

C. Ma
Affiliation: Department of Mathematics, Statistics, and Physics, Wichita State University, Wichita, Kansas 67260-0033
Email: chunsheng.ma@wichita.edu

Keywords: Bessel function, covariance function, isotropy, random field, ultraspherical polynomials
Received by editor(s): January 25, 2021
Published electronically: December 7, 2021
Article copyright: © Copyright 2021 Taras Shevchenko National University of Kyiv