© 2016 Taylor & Francis. The smoothness of Tukey depth contours is a regularity condition often encountered in asymptotic theory, among others. This condition ensures that the Tukey depth fully characterizes the underlying multivariate probability distribution. In this paper we demonstrate that this regularity condition is rarely satisfied. It is shown that even well-behaved probability distributions with symmetrical, smooth and (strictly) quasi-concave densities may have non-smooth Tukey depth contours, and that the smoothness behaviour of depth contours is fairly unpredictable.peerreview_statement: The publishing and review policy for this title is described in its Aims & Scope. aims_and_scope_url: http://www.tandfonline.com/action/jour...
Mizera’s previous work [13] introduced tangent depth, a powerful method for defining robust statisti...
Every notion of depth induces a stratification of the plane in regions of points with the same depth...
We propose new concepts of statistical depth, multivariate quantiles, vector quantiles and ranks, ra...
The Tukey depth is an innovative concept in multivariate data analysis. It can be utilized to extend...
AbstractThe Tukey depth is an innovative concept in multivariate data analysis. It can be utilized t...
Tukey’s half-space depth is one of the most popular depth functions available in the literature. It ...
We study a statistical data depth with respect to compact convex random sets, which is consistent wi...
A notion of multivariate depth, resp. quantile region, was introduced in [Chernozhukov et al., 2017]...
Local depth is a generalization of ordinary depth able to reveal local features of the probability d...
AbstractThrough this paper it is shown that if the Tukey depths of two probabilities, P and Q, coinc...
Classical multivariate statistics measures the outlyingness of a point by its Mahalanobis distance f...
Abstract Tukey’s halfspace depth has attracted much interest in data analysis, becaus...
As the extensions of Tukey’s depth, a family of affine invariant depth functions are introduced for ...
This paper examines smoothness attributes of probability measures on lattices which indicate regular...
For multivariate data, Tukey's half-space depth is one of the most popular depth functions available...
Mizera’s previous work [13] introduced tangent depth, a powerful method for defining robust statisti...
Every notion of depth induces a stratification of the plane in regions of points with the same depth...
We propose new concepts of statistical depth, multivariate quantiles, vector quantiles and ranks, ra...
The Tukey depth is an innovative concept in multivariate data analysis. It can be utilized to extend...
AbstractThe Tukey depth is an innovative concept in multivariate data analysis. It can be utilized t...
Tukey’s half-space depth is one of the most popular depth functions available in the literature. It ...
We study a statistical data depth with respect to compact convex random sets, which is consistent wi...
A notion of multivariate depth, resp. quantile region, was introduced in [Chernozhukov et al., 2017]...
Local depth is a generalization of ordinary depth able to reveal local features of the probability d...
AbstractThrough this paper it is shown that if the Tukey depths of two probabilities, P and Q, coinc...
Classical multivariate statistics measures the outlyingness of a point by its Mahalanobis distance f...
Abstract Tukey’s halfspace depth has attracted much interest in data analysis, becaus...
As the extensions of Tukey’s depth, a family of affine invariant depth functions are introduced for ...
This paper examines smoothness attributes of probability measures on lattices which indicate regular...
For multivariate data, Tukey's half-space depth is one of the most popular depth functions available...
Mizera’s previous work [13] introduced tangent depth, a powerful method for defining robust statisti...
Every notion of depth induces a stratification of the plane in regions of points with the same depth...
We propose new concepts of statistical depth, multivariate quantiles, vector quantiles and ranks, ra...