Fast Computation of Tukey Trimmed Regions and Median in Dimension p > 2
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Publication:3391277
DOI10.1080/10618600.2018.1546595OpenAlexW2963494443MaRDI QIDQ3391277
Pavlo Mozharovskyi, Xiao Hui Liu, Karl C. Mosler
Publication date: 28 March 2022
Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10618600.2018.1546595
halfspace depthcomputational geometrydepth regionsTukey depthdepth contoursTukey medianlocation depthR-package TukeyRegion
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Uses Software
Cites Work
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- Computing multiple-output regression quantile regions
- Stochastic linear programming with a distortion risk constraint
- Multivariate functional outlier detection
- On directional multiple-output quantile regression
- Computing projection depth and its associated estimators
- Computing zonoid trimmed regions of dimension \(d>2\)
- Multivariate risks and depth-trimmed regions
- Halfspace depth and regression depth characterize the empirical distribution
- Computing depth contours of bivariate point clouds
- Multivariate analysis by data depth: Descriptive statistics, graphics and inference. (With discussions and rejoinder)
- Exact computation of the halfspace depth
- Fast implementation of the Tukey depth
- General notions of statistical depth function.
- Structural properties and convergence results for contours of sample statistical depth functions.
- Some results on the computing of Tukey's halfspace median
- Multivariate quantiles and multiple-output regression quantiles: from \(L_{1}\) optimization to halfspace depth
- Data depths satisfying the projection property
- Computing multiple-output regression quantile regions from projection quantiles
- Directional quantile regression in Octave (and MATLAB)
- Statistical Applications of the Multivariate Skew Normal Distribution
- The quickhull algorithm for convex hulls
- DD-Classifier: Nonparametric Classification Procedure Based onDD-Plot