Tauberian and Abelian Theorems for Long-range Dependent Random Fields
Nikolai Leonenko () and
Andriy Olenko ()
Additional contact information
Nikolai Leonenko: Cardiff University
Andriy Olenko: La Trobe University
Methodology and Computing in Applied Probability, 2013, vol. 15, issue 4, 715-742
Abstract:
Abstract This paper surveys Abelian and Tauberian theorems for long-range dependent random fields. We describe a framework for asymptotic behaviour of covariance functions or variances of averaged functionals of random fields at infinity and spectral densities at zero. The use of the theorems and their limitations are demonstrated through applications to some new and less-known examples of covariance functions of long-range dependent random fields.
Keywords: Random field; Homogeneous random field; Covariance function; Abelian theorem; Tauberian theorem; Long-range dependence; 60G60; 62E20; 40E05 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://link.springer.com/10.1007/s11009-012-9276-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:metcap:v:15:y:2013:i:4:d:10.1007_s11009-012-9276-9
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009
DOI: 10.1007/s11009-012-9276-9
Access Statistics for this article
Methodology and Computing in Applied Probability is currently edited by Joseph Glaz
More articles in Methodology and Computing in Applied Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().