Tauberian and Abelian theorems for long-range dependent random fields
Nikolai Leonenko (1) Andriy Olenko (2) ((1) School of Mathematics,, Cardiff University, Senghennydd Road, Cardiff, United Kingdom (2) Department, of Mathematics, Statistics, La Trobe University, Victoria, Australia)

TL;DR
This paper reviews Abelian and Tauberian theorems relevant to long-range dependent random fields, highlighting their applications and limitations in understanding asymptotic behaviors of covariance functions, spectral densities, and averaged functionals.
Contribution
It provides a comprehensive framework for asymptotic analysis of long-range dependent random fields and demonstrates their application to new covariance function examples.
Findings
Framework for asymptotic behavior of covariance functions
Application to new examples of covariance functions
Limitations of theorems in certain cases
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsProbability and Risk Models · Stochastic processes and statistical mechanics
