Add to ORKGAbstract. Several measures of data depth have been proposed, each attempting to maintain certain robustness properties. This paper lists the main approaches known to the computer science community. Properties and algorithms are mentioned, for computing the depth of a point and the location of the deepest point. 1
Data depth provides a natural means to rank multivariate vectors with respect to an underlying multi...
As statistical data sets grow larger and larger, the availability of fast and efficient algorithms b...
Every notion of depth induces a stratification of the plane in regions of points with the same depth...
In this short article, we consider the notion of data depth which generalizes the me-ian to higher d...
A data depth measures the centrality of a point with respect to an empirical distribution. Postulate...
The halfspace location depth of a point θ relative to a data set Xn is defined as the smallest numbe...
summary:Data depth is an important concept of nonparametric approach to multivariate data analysis. ...
We suggest a theoretical framework for computing the exact value of the halfspace depth of a point z...
Classical multivariate statistics measures the outlyingness of a point by its Mahalanobis distance f...
Data depth is a rapidly growing area in nonparametric statistics, especially suited for the analysis...
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 ...
Determining the representativeness of a point within a data cloud has recently become a desirable ta...
In this thesis the theory of depth functions is researched. Depth functions are functions that measu...
Data depth is a statistical analysis method that as-signs a numeric value to a point based on its ce...
Data depth provides a natural means to rank multivariate vectors with respect to an underlying multi...
As statistical data sets grow larger and larger, the availability of fast and efficient algorithms b...
Every notion of depth induces a stratification of the plane in regions of points with the same depth...
In this short article, we consider the notion of data depth which generalizes the me-ian to higher d...
A data depth measures the centrality of a point with respect to an empirical distribution. Postulate...
The halfspace location depth of a point θ relative to a data set Xn is defined as the smallest numbe...
summary:Data depth is an important concept of nonparametric approach to multivariate data analysis. ...
We suggest a theoretical framework for computing the exact value of the halfspace depth of a point z...
Classical multivariate statistics measures the outlyingness of a point by its Mahalanobis distance f...
Data depth is a rapidly growing area in nonparametric statistics, especially suited for the analysis...
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 ...
Determining the representativeness of a point within a data cloud has recently become a desirable ta...
In this thesis the theory of depth functions is researched. Depth functions are functions that measu...
Data depth is a statistical analysis method that as-signs a numeric value to a point based on its ce...
Data depth provides a natural means to rank multivariate vectors with respect to an underlying multi...
As statistical data sets grow larger and larger, the availability of fast and efficient algorithms b...
Every notion of depth induces a stratification of the plane in regions of points with the same depth...