Guy Brys, Peter J Rousseeuw, Anja Struyf, Mia Hubert
This paper examines the distribution of Belgian consumer prices and its interaction with aggregate inflation over the period June 1976-September 2000. Given the fat-tailed nature of this...
Kim Miller, Suneeta Ramaswami, Peter Rousseeuw, Diane Souvaine, Ileana Streinu, Anja Struyf
computation of location depth contours by methods of combinatorial geometry
Efficient Computation of Location Depth Contours by Methods of Computational Geometry (2007)
Kim Miller, Suneeta Ramaswami, Peter Rousseeuw, J. Antoni Sellarès, Diane Souvaine, Ileana Streinu, ...
The concept of location depth was introduced as a way to extend the univariate notion of ranking to a bivariate configuration of data points. It has been used successfully for robust estimation,...
Big Data User’s Guide for S-PLUS ® 8, Insightful Corporation, Seattle, (2007)
For S-plus, Ming Shyu, Leo Breiman, Dan Carr, Steve Dubnoff, Don Edwards, ...
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Fast implementation of depth contours using topological sweep (2001)
Kim Miller, Suneeta Ramaswami, Peter Rousseeuw, Toni Sellares, Diane Souvaine, Ileana Streinu, ...
The concept of location depth was introduced in statistics as a way to extend the univariate notion of ranking to a bivariate configuration of data points. It has been used successfully for robust...
Fast implementation of depth contours using topological sweep (2001)
Kim Miller, Suneeta Ramaswami, Peter Rousseeuw, Diane Souvaine, Ileana Streinuk, Anja Struyf
1 Introduction The location depth of a given point a relative to a bivariate data set first occurred (without being given a name) as a test statistic of Hodges [8] for the hypothesis that a is the...
Fast implementation of depth contours using topological sweep (2001)
Kim Miller, Suneeta Ramaswami, Peter Rousseeuw, Toni Sellarès, Diane Souvaine, Ileana Streinu, ...
The concept of location depth was introduced in statistics as a way to extend the univariate notion of ranking to a bivariate configuration of data points. It has been used successfully for robust...
The Deepest Regression Method (2000)
Stefan Van Aelst, Peter J. Rousseeuw, Mia Hubert, Anja Struyf
Deepest regression (DR) is a method for linear regression introduced by Rousseeuw and Hubert [16]. The DR method is defined as the fit with largest regression depth relative to the data. In this...
Characterizing Angular Symmetry And Regression Symmetry (2000)
Peter J. Rousseeuw, Anja Struyf
this paper, we will prove that for any angularly symmetric multivariate distribution (see Section 2) the location depth median (Tukey 1975) corresponds to the center of angular symmetry. In...
High-Dimensional Computation of the Deepest Location (1999)
Anja Struyf, Peter J. Rousseeuw
The halfspace location depth of a point ` relative to a data set X n is defined as the smallest number of observations in any closed halfspace with boundary through `. As such, halfspace depth can be...
Halfspace Depth and Regression Depth Characterize the Empirical Distribution (1998)
Anja Struyf, Peter J. Rousseeuw
For multivariate data, the halfspace depth function can be seen as a natural and affine equivariant generalization of the univariate empirical cdf. For any multivariate data set, we show that the...
Clustering in an object-oriented environment (1996)
Anja Struyf, Mia Hubert, Peter J. Rousseeuw
This paper describes the incorporation of seven stand-alone clustering programs into S-PLUS, where they can now be used in a much more flexible way. The original Fortran programs carried out new...
Inflation, relative prices and nominal rigidities
Luc Aucremanne, Guy Brys, Mia Hubert, Peter J. Rousseeuw, Anja Struyf
This paper examines the distribution of Belgian consumer prices and its interaction with aggregate inflation over the period June 1976-September 2000. Given the fat-tailed nature of this...
Clustering in an Object-Oriented Environment
Anja Struyf, Mia Hubert, Peter Rousseeuw
This paper describes the incorporation of seven stand-alone clustering programs into S-PLUS, where they can now be used in a much more flexible way. The original Fortran programs carried out new...
Goodness-of-fit tests based on a robust measure of skewness
Guy Brys, Mia Hubert, Anja Struyf
Tail weight, Robustness, Jarque–Bera test,
Inflation, relative prices and nominal rigidities
Luc Aucremanne, Guy Brys, Peter J Rousseeuw, Anja Struyf, Mia Hubert
Van Aelst, Stefan, Rousseeuw, Peter J., Hubert, Mia, Struyf, Anja
Deepest regression (DR) is a method for linear regression introduced by P. J. Rousseeuw and M. Hubert (1999, J. Amer. Statis. Assoc.94, 388-402). The DR method is defined as the fit with largest...