Optimal Subsampling Bootstrap for Massive Data

DOI10.1080/07350015.2023.2166514arXiv2302.07533OpenAlexW4315702718MaRDI QIDQ6190779

Yingying Ma, Hansheng Wang, Chenlei Leng

Publication date: 6 March 2024

Published in: Journal of Business & Economic Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2302.07533

zbMATH Keywords

bootstrapsubsamplingcomputational costbag of little bootstrapssubsampled double bootstrap

Mathematics Subject Classification ID

Applications of statistics to economics (62P20)

Cites Work

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• Subsampling
• A general Bahadur representation of \(M\)-estimators and its application to linear regression with nonstochastic designs
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• Sample Correlation Coefficients Based on Survey Data Under Regression Imputation
• A Scalable Bootstrap for Massive Data
• Communication-Efficient Distributed Statistical Inference
• More Efficient Bootstrap Computations

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