Mean square convergence for estimators of additive regression under random censorship
type: Item
instance of: scholarly article
title: Mean square convergence for estimators of additive regression under random censorship
zbMATH Open document ID: 1106.62037
author: Mohammed Debbarh
author: Vivian Viallon
published in: Comptes Rendus. Mathématique. Académie des Sciences, Paris
publication date: 2007-02-26T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62G07
zbMATH DE Number: 5129811
MaRDI profile type: Publication
full work available at URL: j.crma.2006.12.002
OpenAlex ID: W2008105806
cites work: Density estimation in \(\mathbb{L}^\infty\) norm for mixing processes
cites work: Additive time series: The kernel integration method
cites work: Q4328386
cites work: Nonparametric regression with censored covariates
cites work: A LIL type result for the product limit estimator
cites work: Versions of Kernel-Type Regression Estimators
cites work: Nonparametric Estimation from Incomplete Observations
cites work: Prediction from randomly right censored data
cites work: A kernel method of estimating structured nonparametric regression based on marginal integration
cites work: Additive regression and other nonparametric models
DOI: 10.1016/J.CRMA.2006.12.002
description: scientific article; zbMATH DE number 5129811