On the asymptotic theory of new bootstrap confidence bounds
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Publication:1747746
DOI10.1214/17-AOS1557zbMath1412.62049OpenAlexW2789196210MaRDI QIDQ1747746
Jan W. H. Swanepoel, Charl Pretorius
Publication date: 27 April 2018
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/17-aos1557
regressionCornish-Fisher expansionconfidence boundssample splittingcoverage errorsmooth function modelEdgeworth polynomials
Asymptotic properties of nonparametric inference (62G20) Nonparametric tolerance and confidence regions (62G15) Nonparametric statistical resampling methods (62G09)
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- Bootstrap with larger resample size for root-\(n\) consistent density estimation with time series data
- Edgeworth expansions and rates of convergence for normalized sums: Chung's 1946 method revisited
- Theoretical comparison of bootstrap confidence intervals
- On the validity of the formal Edgeworth expansion
- Bootstrap methods: another look at the jackknife
- On the asymptotic theory of new bootstrap confidence bounds
- Optimal Bootstrap Sample Size in Construction of Percentile Confidence Bounds
- A note on proving that the (modified) bootstrap works
- The bootstrap and Edgeworth expansion
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