On inconsistency of the jackknife-after bootstrap bias estimator for dependent data
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Publication:1372214
DOI10.1006/JMVA.1997.1699zbMath0886.62050OpenAlexW2024669828MaRDI QIDQ1372214
Publication date: 12 November 1997
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/ececabcc8966effcbffd4555224286ae63216747
Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Nonparametric statistical resampling methods (62G09)
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- Second order optimality of stationary bootstrap
- Jackknife approximations to bootstrap estimates
- Resampling a coverage pattern
- The use of subseries values for estimating the variance of a general statistic from a stationary sequence
- Theoretical comparison of bootstrap confidence intervals
- Jackknifing maximum likelihood estimates
- Some asymptotic theory for the bootstrap
- On the asymptotic accuracy of Efron's bootstrap
- Validity of blockwise bootstrap for empirical processes with stationary observations
- Blockwise bootstrapped empirical process for stationary sequences
- Second-order correctness of the blockwise bootstrap for stationary observations
- A general theory for jackknife variance estimation
- The jackknife and the bootstrap for general stationary observations
- On Edgeworth expansion and moving block bootstrap for Studentized \(M\)-estimators in multiple linear regression models
- ON STUDENTIZING AND BLOCKING METHODS FOR IMPLEMENTING THE BOOTSTRAP WITH DEPENDENT DATA
- On blocking rules for the bootstrap with dependent data
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