The consistency and convergence rate for the nearest neighbor density estimator based on φ-mixing random samples
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Publication:5079266
DOI10.1080/03610926.2020.1752727OpenAlexW3020796438MaRDI QIDQ5079266
Rui Wang, Fei Zhang, Shengnan Ding, Zhengliang Lu, Xue-jun Wang
Publication date: 25 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2020.1752727
convergence rateweak consistencystrong consistencycomplete consistencynearest neighbor estimator\(\varphi\)-mixing random variables
Cites Work
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- Berry-Esséen bound of sample quantiles for \(\varphi \)-mixing random variables
- Maximal inequality for \(\psi \)-mixing sequences and its applications
- An invariance principle for \(\phi\)-mixing sequences
- Consistency of a nonparametric estimate of a density function for dependent variables
- Complete convergence for \(\alpha{}\)-mixing sequences
- The asymptotic properties of the estimators in a semiparametric regression model
- On the Rate of Complete Convergence for Weighted Sums of Arrays of Rowwise ϕ-Mixing Random Variables
- The invariance principle for ϕ-mixing sequences
- On Complete Convergence for Nonstationary ϕ-Mixing Random Variables
- A Nonparametric Estimate of a Multivariate Density Function
- Nearest neighbor pattern classification
- On the rates of asymptotic normality for recursive kernel density estimators under ϕ-mixing assumptions
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