Peter Rousseeuw

Publication List Details

Period

1990 - 2007

Number

20

Co-Authors

Abstract (2007)

Van Kreveld, Micha Sharir, Jack Snoeyink, Peter Rousseeuw, Bettina Speckmann

We investigate algorithmic questions that arise in the statistical problem of computing lines or hyperplanes of maximum regression depth among a set of n points. We work primarily with a dual...

z (2007)

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,...

the University of British Columbia. (2007)

Marc Kreveld, Peter Rousseeuw, Micha Sharir, Jack Snoeyink, Bettina Speckmann, ...

M. Sharir supported by NSF Grants CCR-97-32101 and CCR-94-24398, by grants from the

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...

, Greet Pison (2000)

Peter De Rijk, Peter Rousseeuw, Rupert De Wachter

reveals the existence of two pseudoknots in area V4 of eukaryotic small subunit ribosomal RNA

Comparative analysis of more than 3000 sequences reveals the existence of two pseudoknots in area V4 of eukaryotic small subunit ribosomal RNA (2000)

Wuyts, Jan, De Rijk, Peter, Van De Peer, Yves, Pison, Greet, Rousseeuw, Peter, De Wachter, Rupert

The secondary structure of V4, the largest variable area of eukaryotic small subunit ribosomal RNA, was re-examined by comparative analysis of 3253 nucleotide sequences distributed over the animal,...

Similarities Between Location Depth and Regression Depth (1999)

Mia Hubert, Peter Rousseeuw, Stefan Van Aelst

The location depth of Tukey (1975) is a multivariate generalization of rank, and leads to a multivariate median known as the Tukey median. Recently, Rousseeuw and Hubert (1999a) introduced a notion...

Efficient Algorithms for Maximum Regression Depth (1999)

Marc Van Kreveld, Peter Rousseeuw, Micha Sharir, Jack Snoeyink, Bettina Speckmann

We investigate algorithmic questions that arise in the statistical problem of computing lines or hyperplanes of maximum regression depth among a set of n points. We work primarily with a dual...

Recent developments in progress (1997)

Peter Rousseeuw, Mia Hubert

The least median of squares (LMS) regression method (Rousseeuw 1984) is highly robust to outliers in the data. It can be computed by means of PROGRESS (from Program for RObust reGRESSion) described...

The change-of-variance function of M-estimators of scale under general contamination (1995)

Genton, Marc, Rousseeuw, Peter

In this paper we derive the change-of-variance function of M-estimators of scale under general contamination, thereby extending the formula in Hampel et al. (1986). We say that an M-estimator is...

Comparative analysis of more than 3000 sequences reveals the existence of two pseudoknots in area V4 of eukaryotic small subunit ribosomal RNA

Wuyts, Jan, De Rijk, Peter, Van De Peer, Yves, Pison, Greet, Rousseeuw, Peter, De Wachter, Rupert

The secondary structure of V4, the largest variable area of eukaryotic small subunit ribosomal RNA, was re-examined by comparative analysis of 3253 nucleotide sequences distributed over the animal,...

Comparative analysis of more than 3000 sequences reveals the existence of two pseudoknots in area V4 of eukaryotic small subunit ribosomal RNA

Wuyts, Jan, De Rijk, Peter, Van De Peer, Yves, Pison, Greet, Rousseeuw, Peter, De Wachter, Rupert

The secondary structure of V4, the largest variable area of eukaryotic small subunit ribosomal RNA, was re-examined by comparative analysis of 3253 nucleotide sequences distributed over the animal,...

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...

Robust PCA for skewed data and its outlier map

Hubert, Mia, Rousseeuw, Peter, Verdonck, Tim

The outlier sensitivity of classical principal component analysis (PCA) has spurred the development of robust techniques. Existing robust PCA methods like ROBPCA work best if the non-outlying data...