In this note we present a characterization of halfspace depth which relates it with well-known concepts of Locational Analysis. This characterization also leads to a natural extension of the concept of depth to noneuclidean location estimation as well as other settings like regression
The halfspace depth is a prominent tool of nonparametric multivariate analysis. The upper level sets...
AbstractThe sensitivity of halfspace depth values and contours to perturbations of the underlying di...
In this thesis the theory of depth functions is researched. Depth functions are functions that measu...
AbstractIn this note we present a characterization of halfspace depth which relates it with well-kno...
Statistical depth functions became well known nonparametric tool of multivariate data analyses. The ...
The halfspace location depth of a point θ relative to a data set Xn is defined as the smallest numbe...
AbstractContinuity of procedures based on the halfspace (Tukey) depth (location and regression setti...
summary:Generalised halfspace depth function is proposed. Basic properties of this depth function in...
For multivariate data, the halfspace depth function can be seen as a natural and affine equivariant ...
summary:Scatter halfspace depth is a statistical tool that allows one to quantify the fitness of a c...
The location depth (Tukey 1975) of a point relative to a p-dimensional data set Z of size n is defi...
We suggest a theoretical framework for computing the exact value of the halfspace depth of a point z...
Little known relations of the renown concept of the halfspace depth for multivariate data with notio...
While the halfspace depth has gained more and more popularity in the recent years as a robust estima...
The halfspace depth is a well studied tool of nonparametric statistics in multivariate spaces, natur...
The halfspace depth is a prominent tool of nonparametric multivariate analysis. The upper level sets...
AbstractThe sensitivity of halfspace depth values and contours to perturbations of the underlying di...
In this thesis the theory of depth functions is researched. Depth functions are functions that measu...
AbstractIn this note we present a characterization of halfspace depth which relates it with well-kno...
Statistical depth functions became well known nonparametric tool of multivariate data analyses. The ...
The halfspace location depth of a point θ relative to a data set Xn is defined as the smallest numbe...
AbstractContinuity of procedures based on the halfspace (Tukey) depth (location and regression setti...
summary:Generalised halfspace depth function is proposed. Basic properties of this depth function in...
For multivariate data, the halfspace depth function can be seen as a natural and affine equivariant ...
summary:Scatter halfspace depth is a statistical tool that allows one to quantify the fitness of a c...
The location depth (Tukey 1975) of a point relative to a p-dimensional data set Z of size n is defi...
We suggest a theoretical framework for computing the exact value of the halfspace depth of a point z...
Little known relations of the renown concept of the halfspace depth for multivariate data with notio...
While the halfspace depth has gained more and more popularity in the recent years as a robust estima...
The halfspace depth is a well studied tool of nonparametric statistics in multivariate spaces, natur...
The halfspace depth is a prominent tool of nonparametric multivariate analysis. The upper level sets...
AbstractThe sensitivity of halfspace depth values and contours to perturbations of the underlying di...
In this thesis the theory of depth functions is researched. Depth functions are functions that measu...
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