Flexible, boundary adapted, nonparametric methods for the estimation of univariate piecewise-smooth functions

Publication date: 1 Gen 2020

JournalSource: LEGACY
Authors: Umberto Amato

We present and compare some nonparametric estimation methods (wavelet and/or spline-based) designed to recover a one-dimensional piecewise-smooth regression function in both a fixed equidistant or not equidistant design regression model and a random design model.

Publisher
The author, under a Creative Commons Attribution License
Origin
Statistics Surveys
Legacy ID
4480159327c818e5b146c46b9c967ac9
Biblio references
Volume: 14 Pages: 32-70