y_1D

<p>An example of noisy observations obtained by adding a Gaussian noise to \(f(x_i)\) contained in f_1D.rda and associated to the input values contained in x_1D.rda.</p>

Generalized LassO applied to knot selection in multivariate B-splinE Regression (GLOBER) implements a novel approach for estimating functions in a multivariate nonparametric regression model based on an adaptive knot selection for B-splines using the Generalized Lasso. For further details we refer the reader to the paper Savino, M. E. and Lévy-Leduc, C. (2023), <arXiv:2306.00686>.

Mary Savino

glober

y_1D: Values of the response variable of the noisy observation set of one input variable

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