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The consistency and convergence rate for the nearest neighbor density estimator based on φ-mixing random samples.

Authors :
Lu, Zhengliang
Ding, Shengnan
Zhang, Fei
Wang, Rui
Wang, Xuejun
Source :
Communications in Statistics: Theory & Methods; 2022, Vol. 51 Issue 3, p669-684, 16p
Publication Year :
2022

Abstract

In this work, we mainly investigate the consistency and strong convergence rate for the nearest neighbor density estimator based on φ -mixing random samples. The weak consistency, complete consistency, the rates of complete consistency and strong consistency for the nearest neighbor estimator of density function based on φ -mixing random samples are established. The results obtained in the article extend some corresponding ones for independent samples. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03610926
Volume :
51
Issue :
3
Database :
Complementary Index
Journal :
Communications in Statistics: Theory & Methods
Publication Type :
Academic Journal
Accession number :
154863818
Full Text :
https://doi.org/10.1080/03610926.2020.1752727