x_2D

<p>An example of 100 observations for the estimation of a function \(f\) with two input variables.</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

Estimating Functions with Multivariate B-Splines

x_2D function

<p>Numeric matrix of 100 rows and 2 columns.</p>

x_2D: Observation matrix x of two variables

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