Computing zonoid trimmed regions of bivariate data sets

DOI10.1007/978-3-642-57678-2_36zbMath1455.62013OpenAlexW122581148MaRDI QIDQ3297959

Rainer Dyckerhoff

Publication date: 21 July 2020

Published in: COMPSTAT (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-57678-2_36

zbMATH Keywords

algorithmconvex setszonoid depthmultivariate trimming

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Related Items (8)

Exactly computing bivariate projection depth contours and median ⋮ Trimmed regions induced by parameters of a probability ⋮ Exact computation of bivariate projection depth and the Stahel-Donoho estimator ⋮ Weighted-mean trimming of multivariate data ⋮ Generalized and robustified empirical depths for multivariate data ⋮ Computing zonoid trimmed regions of dimension \(d>2\) ⋮ Expectile depth: theory and computation for bivariate datasets ⋮ Computing halfspace depth contours based on the idea of a circular sequence

Cites Work

• On the combinatorial classification of nondegenerate configurations in the plane
• Asymptotics for multivariate trimming
• Halfplane trimming for bivariate distributions
• Computing depth contours of bivariate point clouds
• Zonoid trimming for multivariate distributions
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