The Berry-Esséen type bound of sample quantiles for strong mixing sequence
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Publication:651068
DOI10.1016/j.jspi.2011.09.004zbMath1227.62008OpenAlexW1980487566MaRDI QIDQ651068
Wenzhi Yang, Shuhe Hu, Nengxiang Ling, Xue-jun Wang
Publication date: 8 December 2011
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2011.09.004
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Cites Work
- The Bahadur representation for sample quantiles under strongly mixing sequence
- The Bahadur representation for sample quantiles under negatively associated sequence
- Asymptotic normality and Berry-Esseen results for conditional density estimator with censored and dependent data
- Bahadur representation of linear kernel quantile estimator of VaR under \(\alpha \)-mixing assumptions
- A Berry-Esseen theorem for sample quantiles under weak dependence
- A Berry-Esseen type bound in kernel density estimation for strong mixing censored samples
- Nonparametric curve estimation from time series
- On deviations between empirical and quantile processes for mixing random variables
- Smooth estimate of quantiles under association
- Uniformly asymptotic normality of the regression weighted estimator for negatively associated samples.
- On the accuracy of the normal approximation for quantiles
- The Bahadur representation of sample quantiles for sequences of strongly mixing random variables
- About the Berry-Esseen theorem for weakly dependent sequences
- The Bahadur representation for sample quantiles under weak dependence
- The Bahadur representation for sample quantile under NOD sequence
- Berry-esseen bound for the kaplan-meier estimator
- Berry-esseen bounds for smooth estimator of a distribution function under association
- Conditions for linear processes to be strong-mixing
- On the Convergence Rate in the Central Limit Theorem for Weakly Dependent Random Variables
- Nonparametric models for functional data, with application in regression, time series prediction and curve discrimination
- A Note on Quantiles in Large Samples
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