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Bootstrapping spectral statistics in high dimensions

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Publication:5212906
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DOI10.1093/biomet/asz040zbMath1435.62347arXiv1709.08251OpenAlexW2972433340WikidataQ127540854 ScholiaQ127540854MaRDI QIDQ5212906

Miles E. Lopes, Alexander Aue, Andrew Blandino

Publication date: 30 January 2020

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1709.08251


zbMATH Keywords

bootstrap methodcentral limit theoremspectrum estimationMarčenko-Pastur lawlinear spectral statisticnonlinear spectral statistic


Mathematics Subject Classification ID

Central limit and other weak theorems (60F05) Inference from stochastic processes and spectral analysis (62M15)


Related Items (3)

Rates of Bootstrap Approximation for Eigenvalues in High-Dimensional PCA ⋮ A bootstrap method for spectral statistics in high-dimensional elliptical models ⋮ Bootstrapping the operator norm in high dimensions: error estimation for covariance matrices and sketching







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