Large and moderate deviation principles for the bootstrap sample quantile
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Publication:1674048
DOI10.1016/j.jkss.2017.04.003zbMath1377.62136OpenAlexW2620514071MaRDI QIDQ1674048
Jianyong Mu, Jinghuan Zhao, Yu Miao, Saralees Nadarajah
Publication date: 1 November 2017
Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jkss.2017.04.003
Asymptotic distribution theory in statistics (62E20) Order statistics; empirical distribution functions (62G30) Large deviations (60F10)
Cites Work
- Unnamed Item
- Laws of large numbers for bootstrapped U-statistics
- A Berry-Esseen theorem for sample quantiles under weak dependence
- Strong law for the bootstrap
- Rate of convergence in bootstrap approximations
- Necessary conditions for the bootstrap of the mean
- Some asymptotic theory for the bootstrap
- On the asymptotic accuracy of Efron's bootstrap
- On the law of large numbers for the bootstrap mean
- Bootstrap methods: another look at the jackknife
- Almost sure convergence of bootstrapped means and \(U\)-statistics
- On the unconditional strong law of large numbers for the bootstrap mean
- Bahadur representations for bootstrap quantiles
- A large deviation principle for bootstrapped sample means
- Asymptotic Properties of the Deviation Between Order Statistics and p-Quantile
- Limit behaviors of the deviation between the sample quantiles and the quantile
- A Note on Quantiles in Large Samples
- On Bahadur's Representation of Sample Quantiles
- Almost sure lim sup behavior of bootstrapped means with applications to pairwise i. i. d. sequences and stationary ergodic sequences
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