EconPapers    
Economics at your fingertips  
 

Kernel estimation for quadratic functional of long memory linear processes with infinite variance

Hui Liu and Fangjun Xu

Journal of Nonparametric Statistics, 2025, vol. 37, issue 4, 1131-1151

Abstract: Let $ X=\{X_n: n\in \mathbb {N}\} $ X={Xn:n∈N} be a long memory linear process with innovations in the domain of attraction of an α-stable law $ (0 \lt \alpha \leq 2) $ (0

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/10485252.2024.2443733 (text/html)
Access to full text is restricted to subscribers.

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:taf:gnstxx:v:37:y:2025:i:4:p:1131-1151

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GNST20

DOI: 10.1080/10485252.2024.2443733

Access Statistics for this article

Journal of Nonparametric Statistics is currently edited by Jun Shao

More articles in Journal of Nonparametric Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-12-13
Handle: RePEc:taf:gnstxx:v:37:y:2025:i:4:p:1131-1151