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

Robust Principal Components Regression. - Sabine Verboven; Mia Hubert (COMPSTAT, 2002)

Robust PCA and classification in biosciences. - Mia Hubert; Sanne Engelen (Bioinform., 2004)

Fast and robust discriminant analysis. - Mia Hubert; Katrien van Driessen (Comput. Stat. Data Anal., 2004)

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

Robust measures of tail weight. - Guy Brys; Mia Hubert; Anja Struyf (Comput. Stat. Data Anal., 2006)

Robust learning from bites for data mining. - Andreas Christmann; Ingo Steinwart; Mia Hubert (Comput. Stat. Data Anal., 2007)

Fast cross-validation of high-breakdown resampling methods for PCA. - Mia Hubert; Sanne Engelen (Comput. Stat. Data Anal., 2007)

A robust estimator for the tail index of Pareto-type distributions. - B. Vandewalle; Jan Beirlant; Andreas Christmann; Mia Hubert (Comput. Stat. Data Anal., 2007)

Censored depth quantiles. - Michiel Debruyne; Mia Hubert; Stephen Portnoy; K. Vanden Branden (Comput. Stat. Data Anal., 2008)

An adjusted boxplot for skewed distributions. - Mia Hubert; Ellen Vandervieren (Comput. Stat. Data Anal., 2008)

Goodness-of-fit tests based on a robust measure of skewness. - Guy Brys; Mia Hubert; Anja Struyf (Comput. Stat., 2008)

Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes. - Kris De Brabanter; Kristiaan Pelckmans; Jos De Brabanter; Michiel Debruyne; Johan A. K. Suykens; Mia Hubert; Bart De Moor (ICANN (1), 2009)

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)

Robust classification for skewed data. - Mia Hubert; Stephan Van der Veeken (Adv. Data Anal. Classif., 2010)

Detecting influential observations in Kernel PCA. - Michiel Debruyne; Mia Hubert; Johan Van Horebeek (Comput. Stat. Data Anal., 2010)

Robustness of reweighted Least Squares Kernel Based Regression. - Michiel Debruyne; Andreas Christmann; Mia Hubert; Johan A. K. Suykens (J. Multivar. Anal., 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)

Editorial for the special issue on quantile regression and semiparametric methods. - Wing Kam Fung; Xuming He 002; Mia Hubert; Stephen Portnoy; Huixia Judy Wang (Comput. Stat. Data Anal., 2012)

Phase and amplitude-based clustering for functional data. - Leen Slaets; Gerda Claeskens; Mia Hubert (Comput. Stat. Data Anal., 2012)

Detecting influential data points for the Hill estimator in Pareto-type distributions. - Mia Hubert; Goedele Dierckx; Dina Vanpaemel (Comput. Stat. Data Anal., 2013)

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)

Sparse PCA for High-Dimensional Data With Outliers. - Mia Hubert; Tom Reynkens; Eric Schmitt; Tim Verdonck (Technometrics, 2016)

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

Fast robust SUR with economical and actuarial applications. - Mia Hubert; Tim Verdonck; Özlem Yorulmaz (Stat. Anal. Data Min., 2017)

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

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)

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)

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)

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

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)

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