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

Data di pubblicazione: 1 Gen 2020

RivistaFonte dati: ARCHIVIO

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.

Editore
The author, under a Creative Commons Attribution License
Fonte
Statistics Surveys
ID archivio
4480159327c818e5b146c46b9c967ac9
Riferimenti
Volume: 14 Pages: 32-70