Uniform complete consistency of histogram density estimation for extended negatively dependent random variables and an application

In this paper, we mainly study the histogram density estimator under extended negatively dependent random variables. Some general results on the uniformly complete consistency of histogram density estimator and the convergence rate are obtained, which generalize or improve the corresponding ones for α-mixing random variables in some sense. As an application, the uniformly complete consistency and the corresponding rate of hazard rate function estimator are also obtained. Simulation studies are used to evaluate the asymptotic results.

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Publication Details

Journal
Communications in Statistics - Simulation and Computation
Published
2026-07-30
DOI
https://doi.org/10.1080/03610918.2026.2708037
Primary Topic
Probability and Risk Models
Type
article
Field-Weighted Citation Impact
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article

Uniform complete consistency of histogram density estimation for extended negatively dependent random variables and an application

Liwang Ding, Fengli Huang
Communications in Statistics - Simulation and Computation
Probability and Risk Models
article

Uniform complete consistency of histogram density estimation for extended negatively dependent random variables and an application

Liwang Ding, Fengli Huang
article en

Abstract

In this paper, we mainly study the histogram density estimator under extended negatively dependent random variables. Some general results on the uniformly complete consistency of histogram density estimator and the convergence rate are obtained, which generalize or improve the corresponding ones for α-mixing random variables in some sense. As an application, the uniformly complete consistency and the corresponding rate of hazard rate function estimator are also obtained. Simulation studies are used to evaluate the asymptotic results.

Communications in Statistics - Simulation and Computation
Guangxi University of Finance and Economics (CN)
Openalex Percentile: Top 6%
Probability and Risk Models
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