June 2022 Consistency of nearest neighbor estimator of density function for m-END samples
Wei Wang, Yi Wu
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Braz. J. Probab. Stat. 36(2): 369-384 (June 2022). DOI: 10.1214/22-BJPS530

Abstract

In this paper, we mainly study the consistency of the nearest neighbor estimator of the density function based on m-extended negatively dependent samples. The weak consistency, strong consistency, uniformly strong consistency and the convergence rate are established under some mild conditions. The results obtained in this paper extend and improve some existing ones in the literature.

Funding Statement

The research is supported by the Natural Science Foundation of Anhui Province (2108085QA15), the Key Research Project of Chizhou University (CZ2019ZRZ003), the PhD Research Initiation Fund Project of Chizhou University (2020YJRC003).

Acknowledgments

The authors are most grateful to the Editor-in-Chief and anonymous referees for carefully reading the manuscript and valuable suggestions which helped in improving an earlier version of this paper.

Citation

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Wei Wang. Yi Wu. "Consistency of nearest neighbor estimator of density function for m-END samples." Braz. J. Probab. Stat. 36 (2) 369 - 384, June 2022. https://doi.org/10.1214/22-BJPS530

Information

Received: 1 April 2021; Accepted: 1 January 2022; Published: June 2022
First available in Project Euclid: 5 May 2022

MathSciNet: MR4417195
zbMATH: 1503.62037
Digital Object Identifier: 10.1214/22-BJPS530

Keywords: m-extended negatively dependent samples , nearest neighbor estimator , strong consistency , weak consistency

Rights: Copyright © 2022 Brazilian Statistical Association

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Vol.36 • No. 2 • June 2022
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