Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses

Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses

<p>Functional data classification has gained increasing utility in the modern statistical learning era. In this article, we investigate the generalization ability and the Fisher consistency of the smoothed score (SS) classifier on the intrinsic infinite-dimensional functional data both theoret...

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Bibliographic Details
Main Author: Meichen Liu (8168148) (author)
Other Authors: Peijun Sang (12768959) (author), Xiaodong Yan (299685) (author), Linglong Kong (4532590) (author), Bei Jiang (665589) (author), Xingcai Zhou (19790313) (author)
Published: 2025
Subjects:
Cell Biology
Neuroscience
Biotechnology
Immunology
Infectious Diseases
Mathematical Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
non-asymptotic error bound
minimax optimality
nonstandard asymptotics
functional data analysis
proximal gradient descent
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