Optimal global rates of convergence for noiseless regression estimation problems with adaptively chosen design
type: Item
instance of: scholarly article
title: Optimal global rates of convergence for noiseless regression estimation problems with adaptively chosen design
zbMATH Open document ID: 1360.62177
author: Michael Kohler
published in: Journal of Multivariate Analysis
publication date: 2014-10-08T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62G20
zbMATH DE Number: 6352257
zbMATH Keywords: \(L_1\)-error
zbMATH Keywords: minimax rate of convergence
zbMATH Keywords: noiseless regression
zbMATH Keywords: scattered data approximation
MaRDI profile type: Publication
full work available at URL: j.jmva.2014.08.008
OpenAlex ID: W2012247578
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DOI: 10.1016/J.JMVA.2014.08.008
description: scientific article; zbMATH DE number 6352257