Generalized bootstrap for estimators of minimizers of convex functions
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Publication:1410281
DOI10.1016/S0378-3758(02)00386-5zbMath1021.62028MaRDI QIDQ1410281
Snigdhansu Chatterjee, Arup Bose
Publication date: 14 October 2003
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Asymptotic properties of parametric estimators (62F12) Asymptotic properties of nonparametric inference (62G20) Bootstrap, jackknife and other resampling methods (62F40) Nonparametric statistical resampling methods (62G09)
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Cites Work
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- Bootstrapping sample quantiles in non-regular cases
- Concavity and estimation
- Descriptive statistics for multivariate distributions
- Generalized order statistics, Bahadur representations, and sequential nonparametric fixed-width confidence intervals
- Asymptotics for \(M\)-estimators defined by convex minimization
- A rank statistics approach to the consistency of a general bootstrap
- Generalized bootstrap for studentized U-statistics: A rank statistic approach
- A location estimator based on a U-statistic
- Bootstrap methods: another look at the jackknife
- Exchangeably weighted bootstraps of the general empirical process
- Consistency of the generalized bootstrap for degenerate \(U\)-statistics
- Bootstrapping multivariate \(U\)-quantiles and related statistics
- Generalised bootstrap in non-regular M-estimation problems
- Bahadur representation of \(M_m\) estimates
- Limiting distributions for \(L_1\) regression estimators under general conditions
- Weak convergence and empirical processes. With applications to statistics
- A zero-one law approach to the central limit theorem for the weighted bootstrap mean
- On a Geometric Notion of Quantiles for Multivariate Data
- Some Extensions of the Wald-Wolfowitz-Noether Theorem
- Robust Estimation of a Location Parameter