On convex regression estimators
Statistics Theory
2010-06-16 v1 Statistics Theory
Abstract
A new nonparametric estimator of a convex regression function in any dimension is proposed and its convergence properties are studied. We start by using any estimator of the regression function and we \emph{convexify} it by taking the convex envelope of a sample of the approximation obtained. We prove that the uniform rate of convergence of the estimator is maintained after the convexification is applied. The finite sample properties of the new estimator are investigated by means of a simulation study and the application of the new method is demonstrated in examples.
Cite
@article{arxiv.1006.2859,
title = {On convex regression estimators},
author = {Néstor E. Aguilera and Liliana Forzani and Pedro Morin},
journal= {arXiv preprint arXiv:1006.2859},
year = {2010}
}