Abstract Tukey’s halfspace depth has attracted much interest in data analysis, because it is a natural way of measuring the notion of depth relative to a cloud of points or, more generally, to a probability measure. Given an i.i.d. sample, we investigate the concentration of upper level sets of the Tukey depth relative to that sample around their population version. We show that under some mild assumptions on the underlying probability measure, concentration occurs at a parametric rate and we deduce moment inequalities at that same rate. In a computational prospective, we study the concentration of a discretized version of the empirical upper level sets
We establish quantitative concentration estimates for the empirical measure of many independent vari...
Concentration inequalities deal with deviations of functions of independent random variables from th...
Concentration inequalities deal with deviations of functions of independent random variables from th...
The Tukey depth is an innovative concept in multivariate data analysis. It can be utilized to extend...
Tukey’s half-space depth is one of the most popular depth functions available in the literature. It ...
Local depth is a generalization of ordinary depth able to reveal local features of the probability d...
We study a statistical data depth with respect to compact convex random sets, which is consistent wi...
For multivariate data, Tukey's half-space depth is one of the most popular depth functions available...
Bobkov SG, Götze F, Tikhomirov AN. On Concentration of Empirical Measures and Convergence to the Sem...
Statistical depth functions became well known nonparametric tool of multivariate data analyses. The ...
AbstractThe Tukey depth is an innovative concept in multivariate data analysis. It can be utilized t...
© 2016 Taylor & Francis. The smoothness of Tukey depth contours is a regularity condition often en...
As the extensions of Tukey’s depth, a family of affine invariant depth functions are introduced for ...
For multivariate data, the halfspace depth function can be seen as a natural and affine equivariant ...
We consider asymptotic inference for the concentration of directional data. More precisely, wepropos...
We establish quantitative concentration estimates for the empirical measure of many independent vari...
Concentration inequalities deal with deviations of functions of independent random variables from th...
Concentration inequalities deal with deviations of functions of independent random variables from th...
The Tukey depth is an innovative concept in multivariate data analysis. It can be utilized to extend...
Tukey’s half-space depth is one of the most popular depth functions available in the literature. It ...
Local depth is a generalization of ordinary depth able to reveal local features of the probability d...
We study a statistical data depth with respect to compact convex random sets, which is consistent wi...
For multivariate data, Tukey's half-space depth is one of the most popular depth functions available...
Bobkov SG, Götze F, Tikhomirov AN. On Concentration of Empirical Measures and Convergence to the Sem...
Statistical depth functions became well known nonparametric tool of multivariate data analyses. The ...
AbstractThe Tukey depth is an innovative concept in multivariate data analysis. It can be utilized t...
© 2016 Taylor & Francis. The smoothness of Tukey depth contours is a regularity condition often en...
As the extensions of Tukey’s depth, a family of affine invariant depth functions are introduced for ...
For multivariate data, the halfspace depth function can be seen as a natural and affine equivariant ...
We consider asymptotic inference for the concentration of directional data. More precisely, wepropos...
We establish quantitative concentration estimates for the empirical measure of many independent vari...
Concentration inequalities deal with deviations of functions of independent random variables from th...
Concentration inequalities deal with deviations of functions of independent random variables from th...