Continuity of halfspace depth contours and maximum depth estimators: Diagnostics of depth-related methods
DOI10.1006/jmva.2001.2053zbMath1028.62042OpenAlexW2033381745MaRDI QIDQ1861393
Publication date: 16 March 2003
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/affc302f56f7bd2872778767bdcfaa209c6866b4
stabilitycontinuitydepthset-valued analysisqualitative robustnessdepth contoursmaximum depth estimators
Multivariate analysis (62H99) Nonparametric robustness (62G35) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Set-valued functions (26E25) Set-valued maps in general topology (54C60)
Related Items (15)
Cites Work
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- Breakdown properties of location estimates based on halfspace depth and projected outlyingness
- Halfplane trimming for bivariate distributions
- Convergence of depth contours for multivariate datasets
- Multivariate analysis by data depth: Descriptive statistics, graphics and inference. (With discussions and rejoinder)
- Robustness of deepest regression
- Asymptotic distributions of the maximal depth estimators for regression and multivariate location
- On depth and deep points: A calculus.
- Sign Tests in Multidimension: Inference Based on the Geometry of the Data Cloud
- Variational Analysis
- Regression Depth
- A General Qualitative Definition of Robustness
- Robust Statistics
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