For multivariate data, the halfspace depth function can be seen as a natural and affine equivariant generalization of the univariate empirical cdf. For any multivariate data set, we show that the resulting halfspace depth function completely determines the empirical distribution. We do this by actually reconstructing the data points from the depth contours. The data need not be in general position. Moreover, we prove the same property for regression depth.status: publishe
While the halfspace depth has gained more and more popularity in the recent years as a robust estima...
summary:Scatter halfspace depth is a statistical tool that allows one to quantify the fitness of a c...
Abstract: Data depth measures the centrality of a point with respect to a given distribution or data...
AbstractFor multivariate data, the halfspace depth function can be seen as a natural and affine equi...
Statistical depth functions became well known nonparametric tool of multivariate data analyses. The ...
The Tukey depth is an innovative concept in multivariate data analysis. It can be utilized to extend...
A multivariate depth for functional data is defined and studied. By the multivariate nature and by i...
In this thesis the theory of depth functions is researched. Depth functions are functions that measu...
summary:Generalised halfspace depth function is proposed. Basic properties of this depth function in...
A depth for multivariate functional data is defined and studied. By the multi-variate nature and by ...
Data depth provides a natural means to rank multivariate vectors with respect to an underlying multi...
Little known relations of the renown concept of the halfspace depth for multivariate data with notio...
Data depth measures the centrality of a point with respect to a given distribution or data cloud. It...
Classical multivariate statistics measures the outlyingness of a point by its Mahalanobis distance f...
Data depth measures the centrality of a point with respect to a given distribution or data cloud. It...
While the halfspace depth has gained more and more popularity in the recent years as a robust estima...
summary:Scatter halfspace depth is a statistical tool that allows one to quantify the fitness of a c...
Abstract: Data depth measures the centrality of a point with respect to a given distribution or data...
AbstractFor multivariate data, the halfspace depth function can be seen as a natural and affine equi...
Statistical depth functions became well known nonparametric tool of multivariate data analyses. The ...
The Tukey depth is an innovative concept in multivariate data analysis. It can be utilized to extend...
A multivariate depth for functional data is defined and studied. By the multivariate nature and by i...
In this thesis the theory of depth functions is researched. Depth functions are functions that measu...
summary:Generalised halfspace depth function is proposed. Basic properties of this depth function in...
A depth for multivariate functional data is defined and studied. By the multi-variate nature and by ...
Data depth provides a natural means to rank multivariate vectors with respect to an underlying multi...
Little known relations of the renown concept of the halfspace depth for multivariate data with notio...
Data depth measures the centrality of a point with respect to a given distribution or data cloud. It...
Classical multivariate statistics measures the outlyingness of a point by its Mahalanobis distance f...
Data depth measures the centrality of a point with respect to a given distribution or data cloud. It...
While the halfspace depth has gained more and more popularity in the recent years as a robust estima...
summary:Scatter halfspace depth is a statistical tool that allows one to quantify the fitness of a c...
Abstract: Data depth measures the centrality of a point with respect to a given distribution or data...