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Subsampling and Jackknifing: A Practically Convenient Solution for Large Data Analysis With Limited Computational Resources

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Publication:6092959
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DOI10.5705/ss.202021.0257arXiv2304.06231OpenAlexW4200470229MaRDI QIDQ6092959

Xuening Zhu, Hansheng Wang, Shuyuan Wu

Publication date: 23 November 2023

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2304.06231


zbMATH Keywords

jackknifesubsamplingGPUlarge dataset


Mathematics Subject Classification ID

Statistics (62-XX)




Cites Work

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  • Faster least squares approximation
  • The jackknife estimate of variance
  • A distributed one-step estimator
  • Jackknife, bootstrap and other resampling methods in regression analysis
  • Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data
  • Randomized Algorithms for Matrices and Data
  • Mathematical Statistics
  • Optimal Subsampling for Large Sample Logistic Regression
  • Communication-Efficient Distributed Statistical Inference
  • Microeconometrics
  • Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data


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