scientific article

zbMath1189.62088MaRDI QIDQ3562983

Ondřej Vencálek, Lukáš Kotík, Daniel Hlubinka

Publication date: 28 May 2010

Full work available at URL: https://eudml.org/doc/37708

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

mixture of distributionsdata depthnonparametric multivariate analysisstrong consistency of depth

Mathematics Subject Classification ID

Geometric probability and stochastic geometry (60D05) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Nonparametric inference (62G99)

Related Items (9)

Choosing among notions of multivariate depth statistics ⋮ A weighted localization of halfspace depth and its properties ⋮ Cone distribution functions and quantiles for multivariate random variables ⋮ On weighted and locally polynomial directional quantile regression ⋮ On directional multiple-output quantile regression ⋮ Computing multiple-output regression quantile regions ⋮ Depth functions as measures of representativeness ⋮ Computing multiple-output regression quantile regions from projection quantiles ⋮ Local bilinear multiple-output quantile/depth regression

Uses Software

• AS 307

Cites Work

• Unnamed Item
• On a notion of data depth based on random simplices
• Breakdown properties of location estimates based on halfspace depth and projected outlyingness
• General notions of statistical depth function.
• Structural properties and convergence results for contours of sample statistical depth functions.
• On depth and deep points: A calculus.
• A new general method for constructing confidence sets in arbitrary dimensions: with applications
• Algorithm AS 307: Bivariate Location Depth

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