Kernel regression estimation when the regressor takes values in metric space
type: Item
instance of: scholarly article
title: Kernel regression estimation when the regressor takes values in metric space
zbMATH Open document ID: 1020.62034
DOI: 10.1016/S1631-073X(02)00012-2
author: Sophie Dabo-Niang
author: Noureddine Rhomari
published in: Comptes Rendus. Mathématique. Académie des Sciences, Paris
publication date: 2003-05-08T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62G20
zbMATH DE Number: 1907826
describes a project that uses: fda (R)
MaRDI profile type: Publication
cites work: Linear processes in function spaces. Theory and applications
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cites work: Dimension fractale et estimation de la régression dans des espaces vectoriels semi-normés
cites work: The rates of convergence of kernel regression estimates and classification rules
cites work: Rates of convergence of nearest neighbor estimation under arbitrary sampling
cites work: Functional data analysis
cites work: Differentiation Theorem for Gaussian Measures on Hilbert Space
full work available at URL: s1631-073x(02)00012-2
OpenAlex ID: W2077303640
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description: scientific article; zbMATH DE number 1907826