AbstractA randomized linear expected-time algorithm for computing the zonoid depth [R. Dyckerhoff, G. Koshevoy, K. Mosler, Zonoid data depth: Theory and computation, in: A. Prat (Ed.), COMPSTAT 1996—Proceedings in Computational Statistics, Physica-Verlag, Heidelberg, 1996, pp. 235–240; K. Mosler, Multivariate Dispersion, Central Regions and Depth. The Lift Zonoid Approach, Lecture Notes in Statistics, vol. 165, Springer-Verlag, New York, 2002] of a point with respect to a fixed dimensional point set is presented
The concept of location depth was introduced as a way to extend the univariate notion of ranking to ...
Statistical data depth is a nonparametric tool applicable to multivariate datasets in an attempt to ...
The location depth (Tukey 1975) of a point relative to a p-dimensional data set Z of size n is defi...
A randomized linear expected-time algorithm for computing the zonoid depth [R. Dyckerhoff, G. Koshev...
AbstractA randomized linear expected-time algorithm for computing the zonoid depth [R. Dyckerhoff, G...
Zonoid depth is a definition of data depth proposed by Dyckerhoff et al. [R. Dyckerhoff, G. Koshevoy...
AbstractZonoid depth is a definition of data depth proposed by Dyckerhoff et al. [R. Dyckerhoff, G. ...
We investigate algorithmic questions that arise in the statistical problem of computing lines or hyp...
Classical multivariate statistics measures the outlyingness of a point by its Mahalanobis distance f...
The thesis unifies the most important author's results in the field of algorithms concerning zonotop...
Abstract. In the paper we consider a generalized version of three well-known problems: Selection Pro...
A notion of multivariate depth, resp. quantile region, was introduced in [Chernozhukov et al., 2017]...
Under some mild conditions on probability distribution P, if lim(n) P-n = P weakly then the sequence...
As statistical data sets grow larger and larger, the availability of fast and efficient algorithms b...
The concept of location depth was introduced as a way to extend the univariate notion of ranking to ...
The concept of location depth was introduced as a way to extend the univariate notion of ranking to ...
Statistical data depth is a nonparametric tool applicable to multivariate datasets in an attempt to ...
The location depth (Tukey 1975) of a point relative to a p-dimensional data set Z of size n is defi...
A randomized linear expected-time algorithm for computing the zonoid depth [R. Dyckerhoff, G. Koshev...
AbstractA randomized linear expected-time algorithm for computing the zonoid depth [R. Dyckerhoff, G...
Zonoid depth is a definition of data depth proposed by Dyckerhoff et al. [R. Dyckerhoff, G. Koshevoy...
AbstractZonoid depth is a definition of data depth proposed by Dyckerhoff et al. [R. Dyckerhoff, G. ...
We investigate algorithmic questions that arise in the statistical problem of computing lines or hyp...
Classical multivariate statistics measures the outlyingness of a point by its Mahalanobis distance f...
The thesis unifies the most important author's results in the field of algorithms concerning zonotop...
Abstract. In the paper we consider a generalized version of three well-known problems: Selection Pro...
A notion of multivariate depth, resp. quantile region, was introduced in [Chernozhukov et al., 2017]...
Under some mild conditions on probability distribution P, if lim(n) P-n = P weakly then the sequence...
As statistical data sets grow larger and larger, the availability of fast and efficient algorithms b...
The concept of location depth was introduced as a way to extend the univariate notion of ranking to ...
The concept of location depth was introduced as a way to extend the univariate notion of ranking to ...
Statistical data depth is a nonparametric tool applicable to multivariate datasets in an attempt to ...
The location depth (Tukey 1975) of a point relative to a p-dimensional data set Z of size n is defi...