Robust nonlinear principal components

All known approaches to nonlinear principal components are based on minimizing a quadratic loss, which makes them sensitive to data contamination. A predictive approach in which a spline curve is fit minimizing a residual M-scale is proposed for this problem. For a p-dimensional random sample xi (i=...

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Detalles Bibliográficos
Autores principales:	Maronna, R.A., Méndez, F., Yohai, V.J.
Formato:	JOUR
Materias:	Principal curves S-estimators Splines
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_09603174_v25_n2_p439_Maronna
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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