High-dimensional computation of the deepest location.
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Publication:1583493
DOI10.1016/S0167-9473(99)00112-7zbMath1046.62055MaRDI QIDQ1583493
Anja Struyf, Peter J. Rousseeuw
Publication date: 26 October 2000
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Related Items
Finite sample breakdown point of Tukey's halfspace median, Depth-based classification method underlain by a remote concentration measure for processing asymmetric data, A new approach for the computation of halfspace depth in high dimensions, Some results on the computing of Tukey's halfspace median, Multivariate and functional classification using depth and distance, Projection-based depth functions and associated medians, An algorithm for the multivariate Tukey median, Efficient algorithms for maximum regression depth, Multivariate functional outlier detection, Inferences based on multiple skipped correlations, Distance‐Based Tests for Homogeneity of Multivariate Dispersions, Approximate calculation of Tukey's depth and median with high-dimensional data
Uses Software
Cites Work
- On a notion of data depth based on random simplices
- Descriptive statistics for multivariate distributions
- Breakdown properties of location estimates based on halfspace depth and projected outlyingness
- Computing depth contours of bivariate point clouds
- Multivariate analysis by data depth: Descriptive statistics, graphics and inference. (With discussions and rejoinder)
- Asymptotic distributions of the maximal depth estimators for regression and multivariate location
- Control Charts for Multivariate Processes
- Notions of Limiting P Values Based on Data Depth and Bootstrap
- Algorithm AS 307: Bivariate Location Depth
- Regression Depth
- A Quality Index Based on Data Depth and Multivariate Rank Tests
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