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News/Functional linear regression from sparse to dense designs: a pooling-ridge method and minimax optimality
arxiv
PublishedAugust 27, 2026 at 4:00 AM

Functional linear regression from sparse to dense designs: a pooling-ridge method and minimax optimality

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arXiv:2608.25468v1 Announce Type: cross Abstract: Functional data analysis is an important statistical field that treats data as random functions. In practice, the random functions are often not fully observed but instead measured at discrete times. While simpler problems, such as mean and covarianc

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