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A Functional SVD Framework for Regularized Multivariate Functional PCA with Dual Penalization

This story is from 2026-09-15. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.14815v1 Announce Type: new Abstract: This paper introduces a novel framework for Regularized Multivariate Functional Principal Component Analysis (ReMFPCA) via Functional Singular Value Decomposition (SVD). The proposed method extends existing MFPCA approaches by incorporating a generali…

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  1. 2026-09-15 04:00 · arXiv stat.ML
    A Functional SVD Framework for Regularized Multivariate Functional PCA with Dual Penalization

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