Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models

Spectral methods are widely used to estimate eigenvectors of a low-rank signal matrix subject to noise. These methods use the leading eigenspace of an observed matrix to estimate this low-rank signal. Typically, the entrywise estimation error of these methods depends on the coherence of the low-rank...

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Bibliographic Details
Main Authors Yan, Hao, Levin, Keith
Format Journal Article
LanguageEnglish
Published 31.10.2024
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