Half-space mass: a maximally robust and efficient data depth method
type: Item
instance of: scholarly article
title: Half-space mass: a maximally robust and efficient data depth method
zbMATH Open document ID: 1341.68150
author: Bo Chen
author: Kai Ming Ting
author: Takashi Washio
author: Gholamreza Haffari
published in: Machine Learning
publication date: 2015-10-23T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62G35
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6497639
zbMATH Keywords: half-space mass
zbMATH Keywords: mass estimation
zbMATH Keywords: data depth
zbMATH Keywords: robustness
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: s10994-015-5524-x
OpenAlex ID: W1065912679
cites work: Local depth
cites work: Breakdown properties of location estimates based on halfspace depth and projected outlyingness
cites work: Some intriguing properties of Tukey's half-space depth
cites work: The infrared structure of gauge theory amplitudes in the high-energy limit
cites work: Multivariate analysis by data depth: Descriptive statistics, graphics and inference. (With discussions and rejoinder)
cites work: Computational science and its applications -- ICCSA 2011. International conference, Santander, Spain, June 20--23, 2011. Proceedings, Part III
cites work: General notions of statistical depth function.
cites work: Mass estimation
cites work: Q4117205
DOI: 10.1007/S10994-015-5524-X
description: scientific article; zbMATH DE number 6497639