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Author

Le Zhou

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Preprint Aug 2026

Spatial-sign-based multilinear principal component analysis for tensor data

Simulations and an empirical application show that SMPCA is more accurate and stable than competitors under heavy-tailed distributions and outlier contamination, while retaining competitive performance under light-tailed settings.

Dong-Xu Yang, Wanfeng Liang, Le Zhou et al. · 0 citations

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