Robust sieve estimators for functional canonical correlation analysis

In this paper, we propose robust estimators for the first canonical correlation and directions of random elements on Hilbert separable spaces by combining sieves and robust association measures, leading to Fisher-consistent estimators for appropriate choices of the association measure. Under regular...

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Guardado en:
Detalles Bibliográficos
Publicado: 2019
Materias:
Canonical correlation
Fisher-consistency
Functional data
Robust estimation
Sieves
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0047259X_v170_n_p46_Alvarez
http://hdl.handle.net/20.500.12110/paper_0047259X_v170_n_p46_Alvarez
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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