Spline Smoothing and Nonparametric Regression.

By M. Chris Jones, R. Eubank. 1989

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1. Ciprian M. Crainiceanu
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Citations in the corpus

• Deep learning in neural networks: An overview (2014, methodology): “better” a priori (Nowlan and Hinton, 1992). Other weight priors are implicit in additional penalty terms (MacKay, 1992) or in methods based on validation sets (Mosteller and Tukey, 1968; Stone, 1974; Eubank, 1988; Hastie and Tibshirani, 1990; Craven and Wahba, 1979; Golub et al., 1979), final predict”
• Smoothing splines estimators for functional linear regression (2009, background): “ α has already been proposed by Cardot et al. [5]. In order to verify existence of αb, let us first cite some properties of the eigenvalues of pA∗ m which have been studied by many authors (see Eubank [13]). For instance, in Utreras [28], it is shown that this matrix has exactly m zero eigenvalues µ1”