High dimensional data analysis using multivariate generalized spatial quantiles

DOI10.1016/j.jmva.2010.12.002zbMath1327.62335OpenAlexW2097347373WikidataQ31029224 ScholiaQ31029224MaRDI QIDQ632748

Nitai D. Mukhopadhyay, Snigdhansu Chatterjee

Publication date: 25 March 2011

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2010.12.002

zbMATH Keywords

brain imagingmultivariate quantilegeneralized spatial quantilehigh dimensional data visualizationmultidimensional coverage setsmultivariate order statisticsprojection quantilespatial quantile

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Nonparametric estimation (62G05)

Related Items (6)

Multivariate \(\rho \)-quantiles: a spatial approach ⋮ On the estimation of extreme directional multivariate quantiles ⋮ Bootstrap confidence regions based on M-estimators under nonstandard conditions ⋮ An approach for specifying trimming and winsorization cutoffs ⋮ Uniform estimation of isobars ⋮ Histogram-based embedding for learning on statistical manifolds

Uses Software

• ElemStatLearn

Cites Work

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