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Sixtine Sphabmixay

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#machine learning Preprint Sep 2026

Optimal estimation for Functional Linear Regression with Noisy Discretized Data

In this paper, we consider the scalar-on-function linear regression model under a realistic sampling scheme in which the functional covariates are observed on a regular grid and contaminated by additive noise. We propose a two-step estimation procedure: first, the underlying curves are reconstructed from the discrete n...

Sixtine Sphabmixay · 0 citations