Covariance matrix functions of isotropic vector random fields
Wang, Renxiang ; Du, Juan ; Ma, Chunsheng
Wang, Renxiang
Du, Juan
Ma, Chunsheng
Citations
Altmetric:
Authors
Other Names
Location
Time Period
Advisors
Original Date
Digitization Date
Issue Date
2014-05-15
Type
Article
Genre
Keywords
Covariance matrix function,Cross covariance,Direct covariance,Elliptically contoured random field,Gaussian random field,Spectral density matrix function,Spherically invariant random field,Stationary
Subjects (LCSH)
Citation
Wang, Renxiang; Du, Juan; Ma, Chunsheng. 2014. Covariance matrix functions of isotropic vector random fields. Communications in Statistics - Theory and Methods, SI: Advances in Probability and Statistics, vol. 43:no. 10-12:ppg. 2081-2093
Abstract
An isotropic scalar or vector random field is a second-order random field in (d > 2), whose covariance function or direct/cross covariance functions are isotropic. While isotropic scalar random fields have been well developed and widely used in various sciences and industries, the theory of isotropic vector random fields needs to be investigated for applications. The objective of this article is to study properties of covariance matrix functions associated with vector random fields in which are stationary, isotropic, and mean square continuous, and derives the characterizations of the covariance matrix function of the Gaussian or second-order elliptically contoured vector random field in . In particular, integral or spectral representations for isotropic and continuous covariance matrix functions are derived.
Table of Contents
Description
Click on the DOI link to access the article (may not be free).
Publisher
Taylor & Francis Group
Journal
Communications in Statistics - Theory and Methods
Book Title
Series
Digital Collection
Finding Aid URL
Use and Reproduction
Archival Collection
PubMed ID
DOI
ISSN
0361-0926
