Robust Regression and Outlier Detection - Peter J. Rousseeuw; Annick Leroy (Wiley, 1987)

Finding Groups in Data: An Introduction to Cluster Analysis. - Leonard Kaufman; Peter J. Rousseeuw (John Wiley, 1990)

The Deepest Fit. - Peter J. Rousseeuw; Stefan Van Aelst (COMPSTAT, 1998)

Computing location depth and regression depth in higher dimensions. - Peter J. Rousseeuw; Anja Struyf (Stat. Comput., 1998)

Depth in an Arrangement of Hyperplanes. - Peter J. Rousseeuw; Mia Hubert (Discret. Comput. Geom., 1999)

A Fast Algorithm for the Minimum Covariance Determinant Estimator. - Peter J. Rousseeuw; Katrien van Driessen (Technometrics, 1999)

Fast implementation of depth contours using topological sweep. - Kim Miller; Suneeta Ramaswami; Peter J. Rousseeuw; Joan Antoni Sellarès; Diane L. Souvaine; Ileana Streinu; Anja Struyf (SODA, 2001)

A Hotelling Test Based on MCD. - Gert Willems; G. Pison; Peter J. Rousseeuw; Stefan Van Aelst (COMPSTAT, 2002)

Location adjustment for the minimum volume ellipsoid estimator. - Christophe Croux; Gentiane Haesbroeck; Peter J. Rousseeuw (Stat. Comput., 2002)

Robustness against separation and outliers in logistic regression. - Peter J. Rousseeuw; Andreas Christmann (Comput. Stat. Data Anal., 2003)

Fitting multiplicative models by robust alternating regressions. - Christophe Croux; Peter Filzmoser; G. Pison; Peter J. Rousseeuw (Stat. Comput., 2003)

Efficient computation of location depth contours by methods of computational geometry. - Kim Miller; Suneeta Ramaswami; Peter J. Rousseeuw; Joan Antoni Sellarès; Diane L. Souvaine; Ileana Streinu; Anja Struyf (Stat. Comput., 2003)

Computing Packet Loss Probabilities in Multiplexer Models Using Rational Approximation. - Annie A. M. Cuyt; R. B. Lenin; Gert Willems; Chris Blondia; Peter J. Rousseeuw (IEEE Trans. Computers, 2003)

Robust Multivariate Regression. - Peter J. Rousseeuw; Stefan Van Aelst; Katrien van Driessen; Jose A. Gulló (Technometrics, 2004)

Computation of robust statistics. - Peter J. Rousseeuw; Anja Struyf (Handbook of Discrete and Computational Geometry, 2nd Ed., 2004)

ROBPCA: A New Approach to Robust Principal Component Analysis. - Mia Hubert; Peter J. Rousseeuw; Karlien Vanden Branden (Technometrics, 2005)

Computing LTS Regression for Large Data Sets. - Peter J. Rousseeuw; Katrien van Driessen (Data Min. Knowl. Discov., 2006)

Efficient Algorithms for Maximum Regression Depth. - Marc J. van Kreveld; Joseph S. B. Mitchell; Peter J. Rousseeuw; Micha Sharir; Jack Snoeyink; Bettina Speckmann (Discret. Comput. Geom., 2008)

Robust PCA for skewed data and its outlier map. - Mia Hubert; Peter J. Rousseeuw; Tim Verdonck (Comput. Stat. Data Anal., 2009)

DetMCD in a Calibration Framework. - Tim Verdonck; Mia Hubert; Peter J. Rousseeuw (COMPSTAT, 2010)

Special Issue on Robust Methods for Classification and Data Analysis - Preface by the Guest Editors. - Marco Riani; Andrea Cerioli; Peter J. Rousseeuw (Adv. Data Anal. Classif., 2010)

Robust statistics for outlier detection. - Peter J. Rousseeuw; Mia Hubert (WIREs Data Mining Knowl. Discov., 2011)

Multivariate Techniques: Robustness. - Mia Hubert; Peter J. Rousseeuw (International Encyclopedia of Statistical Science, 2011)

The DetS and DetMM estimators for multivariate location and scatter. - Mia Hubert; Peter J. Rousseeuw; Dina Vanpaemel; Tim Verdonck (Comput. Stat. Data Anal., 2015)

Multivariate functional outlier detection. - Mia Hubert; Peter J. Rousseeuw; Pieter Segaert (Stat. Methods Appl., 2015)

Rejoinder to 'multivariate functional outlier detection'. - Mia Hubert; Peter J. Rousseeuw; Pieter Segaert (Stat. Methods Appl., 2015)

Dissimilar Symmetric Word Pairs in the Human Genome. - Ana Helena Tavares; Jakob Raymaekers; Peter J. Rousseeuw; Raquel M. Silva; Carlos A. C. Bastos; Armando J. Pinho; Paula Brito; Vera Afreixo (PACBB, 2017)

Multivariate and functional classification using depth and distance. - Mia Hubert; Peter J. Rousseeuw; Pieter Segaert (Adv. Data Anal. Classif., 2017)

Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample". - Jakob Raymaekers; Peter J. Rousseeuw; Iwein Vranckx (Stat. Methods Appl., 2018)

Detecting Deviating Data Cells. - Peter J. Rousseeuw; Wannes Van Den Bossche (Technometrics, 2018)

Anomaly detection by robust statistics. - Peter J. Rousseeuw; Mia Hubert (WIREs Data Mining Knowl. Discov., 2018)

Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms. - Erich Schubert; Peter J. Rousseeuw (SISAP, 2019)

A generalized spatial sign covariance matrix. - Jakob Raymaekers; Peter J. Rousseeuw (J. Multivar. Anal., 2019)

MacroPCA: An All-in-One PCA Method Allowing for Missing Values as Well as Cellwise and Rowwise Outliers. - Mia Hubert; Peter J. Rousseeuw; Wannes Van Den Bossche (Technometrics, 2019)

Clustering genomic words in human DNA using peaks and trends of distributions. - Ana Helena Tavares; Jakob Raymaekers; Peter J. Rousseeuw; Paula Brito; Vera Afreixo (Adv. Data Anal. Classif., 2020)

Visualizing classification results. - Jakob Raymaekers; Peter J. Rousseeuw; Mia Hubert (CoRR, 2020)

Outlier detection in non-elliptical data by kernel MRCD. - Joachim Schreurs; Iwein Vranckx; Bart De Ketelaere; Mia Hubert; Johan A. K. Suykens; Peter J. Rousseeuw (CoRR, 2020)

The minimum regularized covariance determinant estimator. - Kris Boudt; Peter J. Rousseeuw; Steven Vanduffel; Tim Verdonck (Stat. Comput., 2020)

Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms. - Erich Schubert; Peter J. Rousseeuw (Inf. Syst., 2021)

Handling Cellwise Outliers by Sparse Regression and Robust Covariance. - Jakob Raymaekers; Peter J. Rousseeuw (J. Data Sci. Stat. Vis., 2021)

Outlier detection in non-elliptical data by kernel MRCD. - Joachim Schreurs; Iwein Vranckx; Mia Hubert; Johan A. K. Suykens; Peter J. Rousseeuw (Stat. Comput., 2021)

Fast Robust Correlation for High-Dimensional Data. - Jakob Raymaekers; Peter J. Rousseeuw (Technometrics, 2021)

Class Maps for Visualizing Classification Results. - Jakob Raymaekers; Peter J. Rousseeuw; Mia Hubert (Technometrics, 2022)

Silhouettes and Quasi Residual Plots for Neural Nets and Tree-based Classifiers. - Jakob Raymaekers; Peter J. Rousseeuw (J. Comput. Graph. Stat., 2022)

Transforming variables to central normality. - Jakob Raymaekers; Peter J. Rousseeuw (Mach. Learn., 2024)

Fast linear model trees by PILOT. - Jakob Raymaekers; Peter J. Rousseeuw; Tim Verdonck; Ruicong Yao (Mach. Learn., 2024)

Multivariate Singular Spectrum Analysis by Robust Diagonalwise Low-Rank Approximation. - Fabio Centofanti; Mia Hubert; Biagio Palumbo; Peter J. Rousseeuw (J. Comput. Graph. Stat., 2025)

Kernel outlier detection. - Can Hakan Dagidir; Mia Hubert; Peter J. Rousseeuw (J. Data Sci. Stat. Vis., 2025)

A Powerful Random Forest Featuring Linear Extensions (RaFFLE). - Jakob Raymaekers; Peter J. Rousseeuw; Thomas Servotte; Tim Verdonck; Ruicong Yao (CoRR, 2025)

Independent Component Analysis by Robust Distance Correlation. - Sarah Leyder; Jakob Raymaekers; Peter J. Rousseeuw; Tom Van Deuren; Tim Verdonck (CoRR, 2025)

Cellwise and Casewise Robust Covariance in High Dimensions. - Fabio Centofanti; Mia Hubert; Peter J. Rousseeuw (CoRR, 2025)