Leveraging for big data regression

DOI10.1002/wics.1324zbMATH Open1545.62097MaRDI QIDQ6604442

Ping Ma, Xiaoxiao Sun

Publication date: 12 September 2024

Published in: Wiley Interdisciplinary Reviews. WIREs Computational Statistics (Search for Journal in Brave)

zbMATH Keywords

estimationleast squaresleveragesubsamplingbig data

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

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• Faster least squares approximation
• Bootstrap methods: another look at the jackknife
• Jackknife, bootstrap and other resampling methods in regression analysis
• Blendenpik: Supercharging LAPACK's Least-Squares Solver
• Sampling algorithms for l₂ regression and applications
• On the Theory of Sampling from Finite Populations

Related Items (7)

Deterministic subsampling for logistic regression with massive data ⋮ On the inversion-free Newton's method and its applications ⋮ A Subsampling Method for Regression Problems Based on Minimum Energy Criterion ⋮ Efficient Model-Free Subsampling Method for Massive Data ⋮ Online updating Huber robust regression for big data streams ⋮ Core-elements for large-scale least squares estimation ⋮ Optimal Subsampling via Predictive Inference

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