Data depth for measurable noisy random functions
type: Item
instance of: scholarly article
title: Data depth for measurable noisy random functions
zbMATH Open document ID: 1415.62028
author: Stanislav Nagy
author: Frédéric Ferraty
published in: Journal of Multivariate Analysis
publication date: 2019-03-21T00:00:00Z
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62G35
Mathematics Subject Classification ID: 62G08
zbMATH DE Number: 7040010
zbMATH Keywords: asymptotics
zbMATH Keywords: data depth
zbMATH Keywords: functional data
zbMATH Keywords: measurement error
zbMATH Keywords: rate of convergence
zbMATH Keywords: smoothing
describes a project that uses: fda (R)
describes a project that uses: Rainbow
describes a project that uses: R
describes a project that uses: locpol
describes a project that uses: ddalpha
MaRDI profile type: Publication
full work available at URL: j.jmva.2018.11.003
OpenAlex ID: W2901764520
Wikidata QID: Q115917786
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Data depth for measurable noisy random functions (DOI)
DOI: 10.1016/J.JMVA.2018.11.003

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