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Strong convergence of robust equivariant nonparametric functional regression estimators

Boente Boente, Graciela Lina et al · Elsevier Science · 2015

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Robust nonparametric equivariant M-estimators for the regression function have been extensively studied when the covariates are in R k . In this paper, we derive strong uniform convergence rates for kernel-based robust equivariant M-regression estimator when the covariates are functional. Fil: Boente Boente, Graciela Lina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; Argentina Fil: Vahnovan, Alejandra Valeria. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Matematicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina

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APA 7

Boente Boente, G. L. E. A. (2015). Strong convergence of robust equivariant nonparametric functional regression estimators. http://hdl.handle.net/11336/18943

MLA

Boente Boente, Graciela Lina et al. "Strong convergence of robust equivariant nonparametric functional regression estimators." 2015. http://hdl.handle.net/11336/18943.

Chicago

Boente Boente, Graciela Lina et al. 2015. "Strong convergence of robust equivariant nonparametric functional regression estimators.". http://hdl.handle.net/11336/18943.

Harvard

Boente Boente, G. L. E. A. 2015, Strong convergence of robust equivariant nonparametric functional regression estimators, Elsevier Science, available at: http://hdl.handle.net/11336/18943 [Accessed 9 Aug. 2026].

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Title
Strong convergence of robust equivariant nonparametric functional regression estimators
Author / contributors
Boente Boente, Graciela Lina et al
Publisher
Elsevier Science
Publication year
2015
ISSN
0167-7152
ISSN
0167-7152
Language
English

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