EconPapers    
Economics at your fingertips  
 

A short memory condition for infinitely divisible random fields

Vitalii Makogin and Evgeny Spodarev

Statistics & Probability Letters, 2025, vol. 221, issue C

Abstract: This small note yields a sufficient condition for the short range dependence of measurable stationary infinitely divisible moving average random fields with d-dimensional index space. Here, the short/long range dependence concept is borrowed from the paper (Kulik and Spodarev 2021). In the special case of symmetric stable moving averages, our new condition coincides with the one from paper (Makogin et al., 2021).

Keywords: Stationary random field; Moving average; Infinite divisibility; Integral spectral representation; α-stable; Time series; Heavy tails (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715225000306
Full text for ScienceDirect subscribers only

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:eee:stapro:v:221:y:2025:i:c:s0167715225000306

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spl.2025.110385

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-24
Handle: RePEc:eee:stapro:v:221:y:2025:i:c:s0167715225000306