EconPapers    
Economics at your fingertips  
 

Almost sure convergence of recursive kernel estimatiors of the density and the regression under η− weak dependence

Mezhoud Kenza Assia

Communications in Statistics - Theory and Methods, 2021, vol. 50, issue 17, 3913-3927

Abstract: The result of this work addresses the consistency of recursive kernel estimates of the regression and density functions. We provide almost sure convergence under η−weak dependence using exponential inequality adapted to this context of dependence. Rates of convergence are derived also.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2019.1710751 (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:lstaxx:v:50:y:2021:i:17:p:3913-3927

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2019.1710751

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:lstaxx:v:50:y:2021:i:17:p:3913-3927