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Journal Articles
- 2022
[j29]Jakob Raymaekers
, Peter J. Rousseeuw, Mia Hubert:
Class Maps for Visualizing Classification Results. Technometrics 64(2): 151-165 (2022)- 2021
- [j28]Joachim Schreurs, Iwein Vranckx, Mia Hubert, Johan A. K. Suykens, Peter J. Rousseeuw:
Outlier detection in non-elliptical data by kernel MRCD. Stat. Comput. 31(5): 66 (2021) - 2019
- [j27]Mia Hubert, Peter J. Rousseeuw, Wannes Van Den Bossche:
MacroPCA: An All-in-One PCA Method Allowing for Missing Values as Well as Cellwise and Rowwise Outliers. Technometrics 61(4): 459-473 (2019) - 2018
- [j26]Peter J. Rousseeuw, Mia Hubert:
Anomaly detection by robust statistics. WIREs Data Mining Knowl. Discov. 8(2) (2018) - 2017
- [j25]Mia Hubert, Peter J. Rousseeuw, Pieter Segaert:
Multivariate and functional classification using depth and distance. Adv. Data Anal. Classif. 11(3): 445-466 (2017) - [j24]Mia Hubert, Tim Verdonck, Özlem Yorulmaz:
Fast robust SUR with economical and actuarial applications. Stat. Anal. Data Min. 10(2): 77-88 (2017) - 2016
- [j23]Mia Hubert, Tom Reynkens, Eric Schmitt, Tim Verdonck:
Sparse PCA for High-Dimensional Data With Outliers. Technometrics 58(4) (2016) - 2015
- [j22]Mia Hubert, Peter J. Rousseeuw, Dina Vanpaemel, Tim Verdonck:
The DetS and DetMM estimators for multivariate location and scatter. Comput. Stat. Data Anal. 81: 64-75 (2015) - [j21]Mia Hubert, Peter J. Rousseeuw, Pieter Segaert:
Multivariate functional outlier detection. Stat. Methods Appl. 24(2): 177-202 (2015) - [j20]Mia Hubert, Peter J. Rousseeuw, Pieter Segaert:
Rejoinder to 'multivariate functional outlier detection'. Stat. Methods Appl. 24(2): 269-277 (2015) - 2013
- [j19]Mia Hubert, Goedele Dierckx, Dina Vanpaemel:
Detecting influential data points for the Hill estimator in Pareto-type distributions. Comput. Stat. Data Anal. 65: 13-28 (2013) - 2012
- [j18]Wing Kam Fung, Xuming He, Mia Hubert, Stephen Portnoy, Huixia Judy Wang:
Editorial for the special issue on quantile regression and semiparametric methods. Comput. Stat. Data Anal. 56(4): 753-754 (2012) - [j17]Leen Slaets, Gerda Claeskens, Mia Hubert:
Phase and amplitude-based clustering for functional data. Comput. Stat. Data Anal. 56(7): 2360-2374 (2012) - 2011
- [j16]Peter J. Rousseeuw, Mia Hubert:
Robust statistics for outlier detection. WIREs Data Mining Knowl. Discov. 1(1): 73-79 (2011) - 2010
- [j15]Mia Hubert, Stephan Van der Veeken:
Robust classification for skewed data. Adv. Data Anal. Classif. 4(4): 239-254 (2010) - [j14]Michiel Debruyne, Mia Hubert, Johan Van Horebeek:
Detecting influential observations in Kernel PCA. Comput. Stat. Data Anal. 54(12): 3007-3019 (2010) - [j13]Michiel Debruyne, Andreas Christmann, Mia Hubert, Johan A. K. Suykens:
Robustness of reweighted Least Squares Kernel Based Regression. J. Multivar. Anal. 101(2): 447-463 (2010) - 2009
- [j12]Mia Hubert, Peter J. Rousseeuw, Tim Verdonck:
Robust PCA for skewed data and its outlier map. Comput. Stat. Data Anal. 53(6): 2264-2274 (2009) - 2008
- [j11]Michiel Debruyne, Mia Hubert, Stephen Portnoy, K. Vanden Branden:
Censored depth quantiles. Comput. Stat. Data Anal. 52(3): 1604-1614 (2008) - [j10]Mia Hubert, Ellen Vandervieren:
An adjusted boxplot for skewed distributions. Comput. Stat. Data Anal. 52(12): 5186-5201 (2008) - [j9]Guy Brys, Mia Hubert, Anja Struyf:
Goodness-of-fit tests based on a robust measure of skewness. Comput. Stat. 23(3): 429-442 (2008) - 2007
- [j8]Mia Hubert, Sanne Engelen:
Fast cross-validation of high-breakdown resampling methods for PCA. Comput. Stat. Data Anal. 51(10): 5013-5024 (2007) - [j7]B. Vandewalle, Jan Beirlant, Andreas Christmann, Mia Hubert:
A robust estimator for the tail index of Pareto-type distributions. Comput. Stat. Data Anal. 51(12): 6252-6268 (2007) - [j6]Andreas Christmann, Ingo Steinwart, Mia Hubert:
Robust learning from bites for data mining. Comput. Stat. Data Anal. 52(1): 347-361 (2007) - 2006
- [j5]Guy Brys, Mia Hubert, Anja Struyf:
Robust measures of tail weight. Comput. Stat. Data Anal. 50(3): 733-759 (2006) - 2005
- [j4]Mia Hubert, Peter J. Rousseeuw, Karlien Vanden Branden:
ROBPCA: A New Approach to Robust Principal Component Analysis. Technometrics 47(1): 64-79 (2005) - 2004
- [j3]Mia Hubert, Sanne Engelen:
Robust PCA and classification in biosciences. Bioinform. 20(11): 1728-1736 (2004) - [j2]Mia Hubert, Katrien van Driessen:
Fast and robust discriminant analysis. Comput. Stat. Data Anal. 45(2): 301-320 (2004) - 1999
- [j1]Peter J. Rousseeuw, Mia Hubert:
Depth in an Arrangement of Hyperplanes. Discret. Comput. Geom. 22(2): 167-176 (1999)
Conference and Workshop Papers
- 2010
- [c3]Tim Verdonck, Mia Hubert, Peter J. Rousseeuw:
DetMCD in a Calibration Framework. COMPSTAT 2010: 589-596 - 2009
- [c2]Kris De Brabanter, Kristiaan Pelckmans, Jos De Brabanter, Michiel Debruyne, Johan A. K. Suykens, Mia Hubert, Bart De Moor:
Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes. ICANN (1) 2009: 100-110 - 2002
- [c1]Sabine Verboven, Mia Hubert:
Robust Principal Components Regression. COMPSTAT 2002: 515-520
Reference Works
- 2011
- [r1]Mia Hubert, Peter J. Rousseeuw:
Multivariate Techniques: Robustness. International Encyclopedia of Statistical Science 2011: 932-935
Informal and Other Publications
- 2020
- [i2]Jakob Raymaekers, Peter J. Rousseeuw, Mia Hubert:
Visualizing classification results. CoRR abs/2007.14495 (2020) - [i1]Joachim Schreurs, Iwein Vranckx, Bart De Ketelaere, Mia Hubert, Johan A. K. Suykens, Peter J. Rousseeuw:
Outlier detection in non-elliptical data by kernel MRCD. CoRR abs/2008.02046 (2020)
Coauthor Index
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