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 ().