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Principal Component Analysis for Multivariate Extremes

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arXiv:2606. 07213v1 Announce Type: cross Abstract: This chapter explores ways to reduce the dimensionality of the data while preserving key information relevant to the analysis of multivariate extreme values.

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Authors: Dan Cooley, Anne Sabourin, Troy Wixson
Released: 2026-06-08 (2mo ago)
Topic: Other
Relation to my work: Background read from arxiv stat.ML (Machine Learning). It did not strongly match recent Sagan clean results, beliefs, or experiments, so keep it lower priority unless the title is independently relevant.
arXiv: 2606.07213

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