Peter Rousseeuw

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Affiliations

• KU Leuven / Faculteit Economie en Bedrijfswetenschappen
  • EDIRC entry
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Research profile

author of:

• Comment (RePEc:bes:jnlasa:v:99:y:2004:p:966-969)
  by Mia Hubert & Peter J. Rousseeuw & Karlien Vanden Branden
• Inflation, relative prices and nominal rigidities (RePEc:bis:bisbpc:19-03)
  by Luc Aucremanne & Guy Brys & Peter J Rousseeuw & Anja Struyf & Mia Hubert
• Bivariate Location Depth (RePEc:bla:jorssc:v:45:y:1996:i:4:p:516-526)
  by Peter J. Rousseeuw & Ida Ruts
• A robust scale estimator based on the shortest half (RePEc:bla:stanee:v:42:y:1988:i:2:p:103-116)
  by P.J. Rousseeuw & A.M. Leroy
• A diagnostic plot for regression outliers and leverage points (RePEc:eee:csdana:v:11:y:1991:i:1:p:127-129)
  by Rousseeuw, Peter J.
• A comparison of some quick algorithms for robust regression (RePEc:eee:csdana:v:14:y:1992:i:1:p:107-116)
  by Rousseeuw, Peter J. & van Zomeren, Bert C.
• Robust regression with a distributed intercept using least median of squares (RePEc:eee:csdana:v:17:y:1994:i:1:p:65-76)
  by Rousseeuw, Peter J. & Wagner, Joachim
• Regression-free and robust estimation of scale for bivariate data (RePEc:eee:csdana:v:21:y:1996:i:1:p:67-85)
  by Rousseeuw, Peter J. & Hubert, Mia
• Preface (RePEc:eee:csdana:v:23:y:1996:i:1:p:1-296)
  by Rasson, J. -P. & Rousseeuw, P. J.
• Fuzzy clustering using scatter matrices (RePEc:eee:csdana:v:23:y:1996:i:1:p:135-151)
  by Rousseeuw, P. J. & Kaufman, L. & Trauwaert, E.
• Computing depth contours of bivariate point clouds (RePEc:eee:csdana:v:23:y:1996:i:1:p:153-168)
  by Ruts, Ida & Rousseeuw, Peter J.
• Integrating robust clustering techniques in S-PLUS (RePEc:eee:csdana:v:26:y:1997:i:1:p:17-37)
  by Struyf, Anja & Hubert, Mia & Rousseeuw, Peter J.
• Displaying a clustering with CLUSPLOT (RePEc:eee:csdana:v:30:y:1999:i:4:p:381-392)
  by Pison, Greet & Struyf, Anja & Rousseeuw, Peter J.
• High-dimensional computation of the deepest location (RePEc:eee:csdana:v:34:y:2000:i:4:p:415-426)
  by Struyf, Anja & Rousseeuw, Peter J.
• Measuring overlap in binary regression (RePEc:eee:csdana:v:37:y:2001:i:1:p:65-75)
  by Christmann, Andreas & Rousseeuw, Peter J.
• Robust estimation in very small samples (RePEc:eee:csdana:v:40:y:2002:i:4:p:741-758)
  by Rousseeuw, Peter J. & Verboven, Sabine
• Robustness against separation and outliers in logistic regression (RePEc:eee:csdana:v:43:y:2003:i:3:p:315-332)
  by Rousseeuw, Peter J. & Christmann, Andreas
• Robust PCA for skewed data and its outlier map (RePEc:eee:csdana:v:53:y:2009:i:6:p:2264-2274)
  by Hubert, Mia & Rousseeuw, Peter & Verdonck, Tim
• Econometric applications of high-breakdown robust regression techniques (RePEc:eee:ecolet:v:71:y:2001:i:1:p:1-8)
  by Zaman, Asad & Rousseeuw, Peter J. & Orhan, Mehmet
• Robust Monitoring of Time Series with Application to Fraud Detection (RePEc:eee:ecosta:v:9:y:2019:i:c:p:108-121)
  by Rousseeuw, Peter & Perrotta, Domenico & Riani, Marco & Hubert, Mia
• Applying robust regression to insurance (RePEc:eee:insuma:v:3:y:1984:i:1:p:67-72)
  by Rousseeuw, P. & Daniels, B. & Leroy, A.
• A generalized spatial sign covariance matrix (RePEc:eee:jmvana:v:171:y:2019:i:c:p:94-111)
  by Raymaekers, Jakob & Rousseeuw, Peter
• Asymptotics of Generalized S-Estimators (RePEc:eee:jmvana:v:51:y:1994:i:1:p:148-177)
  by Hossjer, O. & Croux, C. & Rousseeuw, P. J.
• The Repeated Median Intercept Estimator: Influence Function and Asymptotic Normality (RePEc:eee:jmvana:v:52:y:1995:i:1:p:45-72)
  by Hossjer, O. & Rousseeuw, P. J. & Ruts, I.
• The Catline for Deep Regression (RePEc:eee:jmvana:v:66:y:1998:i:2:p:270-296)
  by Hubert, Mia & Rousseeuw, Peter J.
• Halfspace Depth and Regression Depth Characterize the Empirical Distribution (RePEc:eee:jmvana:v:69:y:1999:i:1:p:135-153)
  by Struyf, Anja J. & Rousseeuw, Peter J.
• Robustness of Deepest Regression (RePEc:eee:jmvana:v:73:y:2000:i:1:p:82-106)
  by Van Aelst, Stefan & Rousseeuw, Peter J.
• The Deepest Regression Method (RePEc:eee:jmvana:v:81:y:2002:i:1:p:138-166)
  by Van Aelst, Stefan & Rousseeuw, Peter J. & Hubert, Mia & Struyf, Anja
• Robust factor analysis (RePEc:eee:jmvana:v:84:y:2003:i:1:p:145-172)
  by Pison, Greet & Rousseeuw, Peter J. & Filzmoser, Peter & Croux, Christophe
• A resampling design for computing high-breakdown regression (RePEc:eee:stapro:v:18:y:1993:i:2:p:125-128)
  by Rousseeuw, Peter J.
• Unconventional features of positive-breakdown estimators (RePEc:eee:stapro:v:19:y:1994:i:5:p:417-431)
  by Rousseeuw, Peter J.
• The bias of k-step M-estimators (RePEc:eee:stapro:v:20:y:1994:i:5:p:411-420)
  by Rousseeuw, Peter J. & Croux, Christophe
• Robust estimation of the conditional median function at elliptical models (RePEc:eee:stapro:v:51:y:2001:i:4:p:361-368)
  by Croux, Christophe & Dehon, Catherine & Rousseeuw, Peter J. & Aelst, Stefan Van
• Robust Regression with a Distributed Intercept Using Least Median of Squares: Theory and Application to Earnings Functions with Dummy Variables for Sectors (RePEc:han:dpaper:dp-160)
  by Rousseeuw, Peter J. & Wagner, Joachim
• Clustering in an Object-Oriented Environment (RePEc:jss:jstsof:v:001:i04)
  by Struyf, Anja & Hubert, Mia & Rousseeuw, Peter
• Inflation, relative prices and nominal rigidities (RePEc:nbb:reswpp:200205-1)
  by Luc Aucremanne & Guy Brys & Mia Hubert & Peter J. Rousseeuw & Anja Struyf
• The Competitive Advantage of Seaports (RePEc:pal:marecl:v:2:y:2000:i:2:p:69-82)
  by Elvira Haezendonck & Greet Pison & Peter Rousseeuw & Anja Struyf & Alain Verbeke
• Econometric applications of high-breakdown robust regression techniques (RePEc:pra:mprapa:41529)
  by Zaman, Asad & Rousseeuw, Peter J. & Orhan, Mehmet
• Multivariate and functional classification using depth and distance (RePEc:spr:advdac:v:11:y:2017:i:3:d:10.1007_s11634-016-0269-3)
  by Mia Hubert & Peter Rousseeuw & Pieter Segaert
• Clustering genomic words in human DNA using peaks and trends of distributions (RePEc:spr:advdac:v:14:y:2020:i:1:d:10.1007_s11634-019-00362-x)
  by Ana Helena Tavares & Jakob Raymaekers & Peter J. Rousseeuw & Paula Brito & Vera Afreixo
• Special Issue on Robust Methods for Classification and Data Analysis (RePEc:spr:advdac:v:4:y:2010:i:2:p:85-87)
  by Marco Riani & Andrea Cerioli & Peter Rousseeuw
• Multivariate functional outlier detection (RePEc:spr:stmapp:v:24:y:2015:i:2:p:177-202)
  by Mia Hubert & Peter Rousseeuw & Pieter Segaert
• Rejoinder to ‘multivariate functional outlier detection’ (RePEc:spr:stmapp:v:24:y:2015:i:2:p:269-277)
  by Mia Hubert & Peter Rousseeuw & Pieter Segaert
• Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” (RePEc:spr:stmapp:v:27:y:2018:i:4:d:10.1007_s10260-018-0425-3)
  by Jakob Raymaekers & Peter J. Rousseeuw & Iwein Vranckx
• Shape bias of robust covariance estimators: an empirical study (RePEc:spr:stpapr:v:55:y:2014:i:1:p:15-28)
  by M. Hubert & P. Rousseeuw & K. Vakili
• Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination (RePEc:spr:testjl:v:24:y:2015:i:3:p:473-477)
  by Peter Rousseeuw & Wannes den Bossche
• The Competitive Advantage of Seaports (RePEc:ulb:ulbeco:2013/328281)
  by Elvira Haezendonck & Greet Pison & Peter Rousseeuw & Anja Struyf & Alain Verbeke
• Measuring overlap in logistic regression (RePEc:zbw:sfb475:199925)
  by Christmann, Andreas & Rousseeuw, Peter J.
• The hidden logistic regression model (RePEc:zbw:sfb475:200130)
  by Rousseeuw, Peter J. & Christmann, Andreas