Every notion of depth induces a stratification of the plane in regions of points with the same depth with respect to a given set of points. The boundaries of these regions, also known as depth-contours, are an appropriate tool for data visualization and have already been studied for some depths like Tukey depth [5, 7, 8, 9] and Delaunay depth [3, 6]. The contours also have applications in quality illumination as is the case of good α-illumination [2]. The first α-depth contour is also known as the α-embracing contour. We prove that the first α-depth contour has linear size and we give an algorithm to compute it in O(n2) running time and O(n) space. 1 Introduction and Related Work Data depth has been considered as a measure to check how deep...
Data depth is a central topic in order statistics and data analysis. However, the increasing needs o...
In this short article, we consider the notion of data depth which generalizes the me-ian to higher d...
We investigate algorithmic questions that arise in the statistical problem of computing lines or hyp...
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 ...
The concept of location depth was introduced in statistics as a way to extend the univariate notion ...
Given a set of points in the plane, the location depth of a point is the minimum number of points...
Depth contour computation is a useful aid to outlier detection. For two-dimensional datasets, Rouss...
The Tukey depth is an innovative concept in multivariate data analysis. It can be utilized to extend...
Classical multivariate statistics measures the outlyingness of a point by its Mahalanobis distance f...
Depth contours are a well-known technique for visualizing the distribution of multidimensional point...
The location depth (Tukey 1975) of a point relative to a p-dimensional data set Z of size n is defi...
In this thesis the theory of depth functions is researched. Depth functions are functions that measu...
Data depth provides a natural means to rank multivariate vectors with respect to an underlying multi...
A data depth measures the centrality of a point with respect to an empirical distribution. Postulate...
Data depth is a central topic in order statistics and data analysis. However, the increasing needs o...
In this short article, we consider the notion of data depth which generalizes the me-ian to higher d...
We investigate algorithmic questions that arise in the statistical problem of computing lines or hyp...
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 ...
The concept of location depth was introduced in statistics as a way to extend the univariate notion ...
Given a set of points in the plane, the location depth of a point is the minimum number of points...
Depth contour computation is a useful aid to outlier detection. For two-dimensional datasets, Rouss...
The Tukey depth is an innovative concept in multivariate data analysis. It can be utilized to extend...
Classical multivariate statistics measures the outlyingness of a point by its Mahalanobis distance f...
Depth contours are a well-known technique for visualizing the distribution of multidimensional point...
The location depth (Tukey 1975) of a point relative to a p-dimensional data set Z of size n is defi...
In this thesis the theory of depth functions is researched. Depth functions are functions that measu...
Data depth provides a natural means to rank multivariate vectors with respect to an underlying multi...
A data depth measures the centrality of a point with respect to an empirical distribution. Postulate...
Data depth is a central topic in order statistics and data analysis. However, the increasing needs o...
In this short article, we consider the notion of data depth which generalizes the me-ian to higher d...
We investigate algorithmic questions that arise in the statistical problem of computing lines or hyp...