SPLINE ESTIMATORS FOR THE FUNCTIONAL LINEAR MODEL

We consider a regression setting where the response is a scalar and the predictor is a random function defined on a compact set of R. Many fields of applications are concerned with this kind of data, for instance chemometrics when the predictor is a signal digitized in many points. Then, people have...

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Veröffentlicht in:	Statistica Sinica 2003-07, Vol.13 (3), p.571-591
Hauptverfasser:	Cardot, Hervé, Ferraty, Frédéric, Sarda, Pascal
Format:	Artikel
Sprache:	eng
Schlagworte:	Covariance Eigenfunctions Eigenvalues Estimators Infinity Least squares Linear models Linear regression Perceptron convergence procedure Random variables
Online-Zugang:	Volltext
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