You are here: Section of Statistics ROBUST@Leuven Publications

Publications

Books and books as editor

  • Hampel, F.R., Ronchetti, E.M., Rousseeuw, P.J., and Stahel, W.A. (1986), Robust Statistics: the Approach Based on Influence Functions, Wiley-Interscience, New York (Series in Probability and Mathematical Statistics), ISBN 0-471-82921-8.

    Second printing also as paperback (ISBN 0-471-63238-4).
  • Rousseeuw, P.J. and Leroy, A.M. (1987), Robust Regression and Outlier Detection, Wiley-Interscience, New York (Series in Applied Probability and Statistics), ISBN 0-471-85233-3. 
  • Kaufman, L. and Rousseeuw, P.J. (1990), Finding Groups in Data: An Introduction to Cluster Analysis, Wiley-Interscience, New York (Series in Applied Probability and Statistics), ISBN 0-471-87876-6.
  • Theory and Applications of Recent Robust Methods, M. Hubert, G. Pison, A. Struyf and S. Van Aelst (Eds.), Series: Statistics for Industry and Technology, Birkhäuser Verlag, ISBN 3-7643-7060-2, 2004.
  • Beirlant, J., Dierckx, G., and Hubert, M. (2004), Statistiek en Wetenschap, ACCO, Leuven, Belgium, ISBN 90-334-5691-5.
        Tweede druk (herwerkte uitgave): ISBN 90-334-5878-0, 2005.
        Derde druk: ISBN 90-334-6066-1, 2006.

Technical reports

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Hubert, M., Verdonck, T., Yorulmaz, O. (2014).
Fast robust SUR with applications to the multivariate chain ladder method.

pdf Rato, T., Schmitt, E.,  De Ketelaere, B., Hubert, M., Reis, M. (2014).
A systematic comparison of statistical process monitoring methods for high-dimensional, time-dependent processes.
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Hubert, M., Reynkens, T., Schmitt, E., Verdonck, T. (2014).
Sparse PCA for high-dimensional data with outliers. 

pdf Hubert, M., Rousseeuw, P., Segaert, P. (2014).
Multivariate functional outlier detection.

Journal papers and articles in books with review

pdf De Ketelaere, B., Hubert, M., Schmitt, E. (201x).
Overview of PCA-based statistical process monitoring methods for time-dependent, high-dimensional data. Journal of Quality Technology. In press.
pdf Hubert, M., Rousseeuw, P.J., Vanpaemel, D., Verdonck, T. (2015).
The DetS and DetMM estimators for multivariate location and scatter. Computational Statistics and Data Analysis, 81, 64-75.
pdf Claeskens, G., Hubert, M., Slaets, L., Vakili, K. (2014).
Multivariate functional halfspace depth. Journal of the American Statistical Association, 109, 411-423.
pdf Hubert, M., Rousseeuw, P.J., Vakili, K. (2014).
Shape bias of robust covariance estimators: an empirical study. Statistical Papers, 55, 15-28.
pdf Ceulemans, E., Hubert, M., Rousseeuw, P.J. (2013).
Robust multilevel simultaneous component analysis. Chemometrics and Intelligent Laboratory Systems, 129, 33-39.
pdf Hubert, M., Dierckx, G., Vanpaemel, D. (2013).
Detecting influential data points for the Hill estimator in Pareto-type distributions, Computational Statistics and Data Analysis, 65, 13-28. 
pdf Hubert, M., Gijbels, I., Vanpaemel, D. (2013).
Reducing the mean squared error of quantile-based estimators by smoothing, Test, 22, 448-465. 
pdf Hubert, M., Rousseeuw, P.J., Verdonck, T. (2012).
A deterministic algorithm for robust location and scatter, Journal of Computational and Graphical Statistics, 21, 618-637.
pdf Hubert, M., Van Kerckhoven, J., Verdonck, T. (2012).
Robust PARAFAC for incomplete data, Journal of Chemometrics, 26, 290-298.
pdf Verboven, S., Hubert, M., Goos, P. (2012).
Robust preprocessing and model selection for spectral data, Journal of Chemometrics, 26, 282-289.
pdf Slaets, L., Claeskens, G., Hubert, M. (2012).
Phase and amplitude-based clustering for functional data, Computational Statistics and Data Analysis, 56, 2360-2374. 
pdf Fung, W.-K., He, X., Hubert, M., Portnoy, S., Wang, H.J. (2012).
Editorial for the Special Issue on quantile regression and semiparametric methods, Computational Statistics and Data Analysis, 56, 753-754. 
pdf Engelen, S., Hubert, M. (2011).
Detecting outlying samples in a parallel factor analysis model, Analytica Chimica Acta, 705, 155-165.
pdf Hubert, M., Van der Veeken, S. (2010).
Robust classification for skewed data, Advances in Data Analysis and Classification, 4, 239-254.
pdf Debruyne, M., Hubert, M., Van Horebeek, J. (2010).
Detecting influential observations in kernel PCA, Computational Statistics and Data Analysis, 54, 3007-3019.
pdf Debruyne, M., Christmann, A., Hubert, M., Suykens, J.A.K. (2010).
Robustness of reweighted least squares kernel based regression, Journal of Multivariate Analysis, 101, 447-463.
pdf Hubert, M., Rousseeuw, P.J., Verdonck, T. (2009).
Robust PCA for skewed data and its outlier map, Computational Statistics and Data Analysis, 53, 2264-2274.
pdf Debruyne, M., Hubert, M. (2009).
The influence function of the Stahel-Donoho covariance estimator of smallest outlyingness, Statistics and Probability Letters, 79, 275-282.
pdf Debruyne, M., Hubert, M., Suykens, J.A.K. (2008).
Model selection in kernel based regression based on the influence function, Journal of Machine Learning Research, 9, 2377-2400.
pdf Hubert, M., Vandervieren, E. (2008).
An adjusted boxplot for skewed distributions, Computational Statistics and Data Analysis, 52, 5186–5201.
pdf Brys, G., Hubert, M., Struyf, A. (2008).
Goodness-of-fit tests based on a robust measure of skewness, Computational Statistics, 23, 429-442.
pdf Hubert, M., Rousseeuw, P.J., Van Aelst, S. (2008).
High-breakdown robust multivariate methods, Statistical Science, 23, 92-119.
pdf Hubert, M., Van der Veeken, S. (2008).
Outlier detection for skewed data, Journal of Chemometrics, 22, 235-246.
pdf Debruyne, M., Hubert, M., Portnoy, S., Vanden Branden, K. (2008).
Censored depth quantiles, Computational Statistics and Data Analysis, 52, 1604-1614.
pdf Vandewalle, B., Beirlant, J., Christmann, A., Hubert, M. (2007).
A robust estimator for the tail index of Pareto-type distributions, Computational Statistics and Data Analysis, 51, 6252-6268.
pdf Christmann, A., Steinwart, I., Hubert, M. (2007).
Robust learning from bites for data mining, Computational Statistics and Data Analysis, 52, 347-361.
pdf Hubert, M., Engelen, S. (2007).
Fast cross-validation of high-breakdown resampling methods for PCA, Computational Statistics and Data Analysis, 51, 5013-5024.
pdf Engelen, S., Frosch Møller S., Hubert, M. (2007).
Automatically identifying scatter in fluorescence data using robust techniques, Chemometrics and Intelligent Laboratory Systems, 86, 35-51.
pdf Rousseeuw, P.J., Debruyne, M., Engelen, S., Hubert, M. (2006).
Robustness and outlier detection in chemometrics, Critical Reviews in Analytical Chemistry, 36, 221-242.
pdf Neocleous, T., Vanden Branden, K., Portnoy, S. (2006).
Correction to censored regression quantiles by S. Portnoy, 98(2003), 1001-1013, Journal of the American Statistical Association, 101, 860-861.
pdf Brys, G., Hubert, M., Struyf, A. (2006).
Robust measures of tail weight, Computational Statistics and Data Analysis, 50, 733-759.
pdf Brys, G., Hubert, M., Rousseeuw, P.J. (2005).
A robustification of Independent Component Analysis, Journal of Chemometrics, 19, 364-375
pdf Vanden Branden, K., Hubert, M. (2005).
Robust classification in high dimensions based on the SIMCA method, Chemometrics and Intelligent Laboratory Systems, 79, 10-21.
pdf Engelen, S., Hubert, M., Vanden Branden, K. (2005).
A comparison of three procedures for robust PCA in high dimensions, Austrian Journal of Statistics, 34, 117-126.
pdf Engelen, S. , Hubert, M. (2005).
Fast model selection for robust calibration methods, Analytica Chimica Acta, 544, 219-228.
pdf Hubert, M., Rousseeuw, P.J., Vanden Branden, K. (2005).
ROBPCA: a new approach to robust principal component analysis, Technometrics, 47, 64-79.
pdf Verboven, S., Hubert, M. (2005).
LIBRA: a MATLAB Library for Robust Analysis, Chemometrics and Intelligent Laboratory Systems, 75, 127-136.
pdf Brys, G., Hubert, M., Struyf, A. (2004).
A robust measure of skewness, Journal of Computational and Graphical Statistics, 13, 996-1017.
pdf Hubert, M., Rousseeuw, P.J., Vanden Branden, K. (2004).
Comment on Location-Scale Depth by I. Mizera and C. Muller, Journal of the American Statistical Association, 99, 966--970.
pdf Hubert, M., Engelen, S. (2004).
Robust PCA and classification in biosciences, Bioinformatics, 20, 1728-1736.
pdf Vanden Branden, K., Hubert, M. (2004).
Robustness properties of a robust PLS regression method, Analytica Chimica Acta, 515, 229-241.
pdf Hubert, M., Van Driessen, K. (2004).
Fast and robust discriminant analysis, Computational Statistics and Data Analysis, 45, 301-320.
  De Groot, V., Hubert, M., Van Best, J.A., Engelen, S., Van Aelst, S., Tassignon, M. (2003).
No fluorophotometric evidence of aqueous-vitreous barrier disruption after posterior capsulorrhexis (PCCC), Journal of Cataract and Refractive Surgery, 29(12), 2330-2338.
pdf Hubert, M., Vanden Branden, K. (2003).
Robust methods for Partial Least Squares regression, Journal of Chemometrics, 17, 537-549.
pdf Hubert, M., and Verboven, S. (2003).
A robust PCR method for high-dimensional regressors, Journal of Chemometrics, 17, 438-452.
pdf Hubert, M., Rousseeuw, P.J., Van Aelst, S. (2002).
Discussion on "Inconsistency of Resampling Algorithms for High Breakdown Regression Estimators and a New Algorithm", by D. M. Hawkins and D. Olive, Journal of the American Statistical Association, 97, 151-153.
pdf Hubert, M., Rousseeuw, P.J., Verboven, S. (2002).
A fast robust method for principal components with applications to chemometrics, Chemometrics and Intelligent Laboratory Systems, 60, 101-111.
pdf Van Aelst, S., Rousseeuw, P.J., Hubert, M., Struyf, A. (2002).
The deepest regression method, Journal of Multivariate Analysis, 81, 138-166.

pdf
Hubert, M. (2001).
Discussion on "Multivariate outlier detection and robust covariance matrix estimation" by D. Peña and F. Prieto, Technometrics, 43, 303-306.
pdf Hubert, M., Rousseeuw, P.J., Van Aelst, S. (2001).
Similarities between location depth and regression depth, Statistics in Genetics and in the Environmental Sciences, edited by L.T. Fernholz, S. Morgenthaler and W. Stahel, Basel, Birkhauser Verlag AG, 159-172, ISBN 3-7643-6575-7.
pdf Rousseeuw, P.J., Hubert, M. (1999).
Depth in an arrangement of hyperplanes, Discrete and Computational Geometry, 22, 167-176.
pdf Rousseeuw, P.J., Van Aelst, S., Hubert, M. (1999).
Rejoinder to discussion of "Regression depth", Journal of the American Statistical Association, 94, 419-433.
pdf Rousseeuw, P.J., Hubert, M. (1999).
Regression depth, Journal of the American Statistical Association, 94, 388-402.
pdf Hubert, M., Rousseeuw, P.J. (1998).
The catline for deep regression, Journal of Multivariate Analysis, 66, 270-296.
pdf Struyf, A., Hubert, M., Rousseeuw, P.J. (1997).
Integrating robust clustering techniques in S-PLUS, Computational Statistics and Data Analysis, 26, 17-37.
pdf Rousseeuw, P.J., Hubert, M. (1997).
Recent developments in PROGRESS, in L1-Statistical Procedures and Related Topics, edited by Y. Dodge. Institute of Mathematical Statistics Lecture Notes-Monograph Series, Volume 31, Hayward, California, 201-214.
pdf Hubert, M. (1997).
The breakdown value of the L1-estimator in contingency tables, Statistics and Probability Letters, 33, 419-425.
pdf Hubert, M., Rousseeuw, P.J. (1997).
A regression analysis with categorical covariables, two-way heteroscedasticity, and hidden outliers, in The Practice of Data Analysis: Essays in Honor of J.W. Tukey, edited by D.R. Brillinger, L.T. Fernholz and S. Morgenthaler, Princeton, New Jersey: Princeton University Press, 193-202.
pdf Hubert, M., Rousseeuw, P.J. (1997).
Robust regression with both continuous and binary regressors, Journal of Statistical Planning and Inference, 57, 153-163.

pdf
Struyf, A., Hubert, M., Rousseeuw, P.J. (1997).
Clustering in an object-oriented environment, Journal of Statistical Software, 1, Issue 4, 1-30.
pdf Hubert, M., Rousseeuw, P.J. (1996).
Robust regression with a categorical covariable, in Robust Statistics, Data Analysis, and Computer Intensive Methods, edited by H. Rieder. Lecture Notes in Statistics 109, Springer-Verlag, New York, pages 215-222.
pdf Rousseeuw, P.J., Hubert, M. (1996).
Regression-free and robust estimation of scale for bivariate data, Computational Statistics and Data Analysis, 21, 67-85.

Review papers and chapters in books

 

Rousseeuw, P.J., Hubert, M. (2013).
High-breakdown estimators of multivariate location and scatter, Robustness and Complex Data Structures. Festschrift in Honour of Ursula Gather, edited by C. Becker, R. Fried, S. Kuhnt, Springer, 49-66.

  Hubert, M. (2011).
Book review of "Multivariate Nonparametric Methods with R. An Approach Based on Spatial Signs and Ranks" by H. Oja, Biometrics, 67, 1674-1675.
  Rousseeuw, P., Hubert, M. (2011).
Robust statistics for outlier detection, WIREs Data Mining and Knowledge Discovery, 1, 73-79.
  Hubert, M., Rousseeuw, P. (2011).
Multivariate techniques, Robustness, International Encyclopedia of Statistical Science, edited by M. Lovric, Berlin: Springer-Verlag, 932-935.
  Verboven, S., Hubert, M. (2010).
Matlab library LIBRA, Wiley Interdisciplinary Reviews: Computational Statistics, 2, 509-515.
  Hubert, M., Debruyne, M. (2010).
Minimum Covariance Determinant, Wiley Interdisciplinary Reviews: Computational Statistics, 2, 36-43.

 
Hubert, M., Debruyne, M. (2009).
Breakdown Value, Wiley Interdisciplinary Reviews: Computational Statistics, 1, 296-302.
  Hubert, M. (2009).
Book review of "Applied Multiway Data Analysis" by P. Kroonenberg, Journal of the Americal Statistical Association, 104, page 856.

 
Gijbels, I., Hubert, M. (2009).
Robust and Nonparametric Statistical Methods, Comprehensive Chemometrics, volume 1, edited by S. Brown, R. Tauler, B. Walczak, Elsevier, Oxford, 189-211.
  Hubert, M. (2009).
Robust Calibration, Comprehensive Chemometrics, volume 3, edited by S. Brown, R. Tauler, B. Walczak, Elsevier, Oxford, 315-343.
  Hubert, M. (2008).
Book review of "Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications" by R. Liu, R. Serfling and D.L. Souvaine, Biometrics, 64, 655-656.
  Hubert, M. (2006).
Robust Calibration, Practical guide to Chemometrics, edited by P. Gemperline, CRC Press, 167-215. ISBN: 1574447831.
  Hubert, M., Rousseeuw, P.J., Van Aelst, S. (2005).
Multivariate outlier detection and Robustness, Handbook of Statistics, Volume 24: Data Mining and Data Visualization, edited by C.R. Rao, E.J. Wegman and J.L. Solka, Elsevier, North-Holland, 263-302, ISBN: 0-444-51141-5.
  Hubert, M., Rousseeuw, P.J., Van Aelst, S. (2004).
Robustness, Encyclopedia of Actuarial Sciences, edited by Sundt, B. and Teugels, J., Wiley, New York, 1515-1529.
pdf Aucremanne, L., Brys, G., Hubert, M., Rousseeuw, P.J., Struyf, A. (2004).
A Study of Belgian Inflation, Relative Prices and Nominal Rigidities using New Robust Measures of Skewness and Tail Weight, Theory and Applications of Recent Robust Methods, edited by M. Hubert, G. Pison, A. Struyf and S. Van Aelst, Series: Statistics for Industry and Technology, Birkhauser, Basel, 13-25.
pdf Vandewalle, B., Beirlant, J., Hubert, M. (2004).
A robust estimator of the tail index based on an exponential regression model, Theory and Applications of Recent Robust Methods, edited by M. Hubert, G. Pison, A. Struyf and S. Van Aelst, Series: Statistics for Industry and Technology, Birkhauser, Basel, 367-376.
pdf Engelen, S., Hubert, M., Vanden Branden, K., Verboven, S. (2004).
Robust PCR and Robust PLSR: a comparative study, Theory and Applications of Recent Robust Methods, edited by M. Hubert, G. Pison, A. Struyf and S. Van Aelst, Series: Statistics for Industry and Technology, Birkhauser, Basel, 105-117.

 
Hubert, M., Rousseeuw, P.J. (1999)
Extending location depth to the regression setting, Wiskundig bekeken, Liber amicorum Roger De Groot, edited by M. Van Wouwe et al., Mys & Breesch, Gent, 145-153.

 
Rousseeuw, P.J., Hubert, M. (1998).
Regression depth, Encyclopedia of Statistical Sciences Update Volume 2, edited by S. Kotz, C. Read, and D. Banks. John Wiley, New York, 576-581.

Proceeding papers (with review)

pdf
Hubert, M., Claeskens, G., De Ketelaere, B., Vakili, K. (2012).
A new depth-based approach for detecting outlying curves. Proceedings of COMPSTAT 2012, edited by A. Colubi, K. Fokianos, G. Gonzalez-Rodriguez, E.J. Kontoghiorghes, pp. 329-340, ISBN 978-90-73592-32-2.
pdf
Vakili, K., Hubert, M., Rousseeuw, P. (2012). 
The MCS estimator of location and scatter. Proceedings of COMPSTAT 2012, edited by A. Colubi, K. Fokianos, G. Gonzalez-Rodriguez, E.J. Kontoghiorghes, pp. 825-834, ISBN 978-90-73592-32-2.
pdf Verdonck, T., Hubert, M., Rousseeuw, P.J. (2010).
DetMCD in a calibration framework, Proceedings in Computational Statistics, 2010, edited by Y. Lechevallier and G. Saporta, Springer-Verlag, Heidelberg, pp. 589-596, ISBN 978-3-7908-2603-6.
pdf Hubert, M., Van der Veeken, S. (2010).
Fast and robust classifiers adjusted for skewness, Proceedings in Computational Statistics, 2010, edited by Y. Lechevallier and G. Saporta, Springer-Verlag, Heidelberg, pp. 1135-1142, ISBN 978-3-7908-2603-6.
  De Brabanter, K., Pelckmans, K., De Brabanter, J., Debruyne, M., Suykens, J.A.K., Hubert, M., De Moor, B. (2009).
Robustness of kernel based regression: a comparison of iterative weighting schemes, Proceedings of the 19th International Conference on Artificial Neural Networks (ICANN 2009), pp. 100-110.
Engelen, S., Hubert, M., Vanden Branden, K. (2004).
A comparison of three procedures for robust PCA in high dimensions, Proceedings of the Seventh International Conference on Computer Data Analysis and Modeling, pp. 11-17.
pdf Debruyne, M., Hubert, M. (2004).
Robust regression quantiles with censored data, Proceedings in Computational Statistics, 2004, edited by J. Antoch, Springer-Verlag, Heidelberg, pp. 887-893, ISBN 3-7908-1554-3.
pdf Vandervieren, E., Hubert, M. (2004).
An adjusted boxplot for skewed distributions, Proceedings in Computational Statistics, 2004, edited by J. Antoch, Springer-Verlag, Heidelberg, pp. 1933-1940, ISBN 3-7908-1554-3.
pdf Engelen, S., Hubert, M. (2004).
Fast cross-validation in robust PCA, Proceedings in Computational Statistics, 2004, edited by J. Antoch, Springer-Verlag, Heidelberg, pp. 989-996, ISBN 3-7908-1554-3.
pdf Vanden Branden, K., Hubert, M. (2004).
Robust classification of high-dimensional data, Proceedings in Computational Statistics, 2004, edited by J. Antoch, Springer-Verlag, Heidelberg, pp. 1925-1932, ISBN 3-7908-1554-3.
pdf Brys, G., Hubert, M., Struyf, A. (2004).
A robustification of the Jarque-Bera test of normality, Proceedings in Computational Statistics, 2004, edited by J. Antoch, Springer-Verlag, Heidelberg, pp. 753-760, ISBN 3-7908-1554-3.
pdf Brys, G., Hubert, M., Struyf, A. (2003).
A comparison of some new measures of skewness, Developments in Robust Statistics. International Conference on Robust Statistics 2001, edited by R. Dutter, P. Filzmoser, U. Gather and P.J. Rousseeuw, Physica-Verlag, Heidelberg, pp. 98-113, ISBN 3-7908-1518-7.
  Hubert, M., Rousseeuw, P.J., Verboven, S. (2003).
Robust PCA for high-dimensional data, Developments in Robust Statistics. International Conference on Robust Statistics 2001, edited by R. Dutter, P. Filzmoser, U. Gather and P.J. Rousseeuw, Springer-Verlag, Heidelberg, pp. 169-179, ISBN 3-7908-1518-7.

 
Verboven, S. and Hubert, M. (2002).
Robust principal components regression, COMPSTAT: Proceedings in Computational Statistics, edited by W. Härdle and B.Rönz, Physica-Verlag, Heidelberg, pp. 515-520. ISBN 3-7908-1517-9.

 
Hubert, M., Van Aelst, S., Rousseeuw, P.J. (2000).
Applications of deepest regression, Computing Science and Statistics, 32, 439-446.
  Verboven, S., Rousseeuw, P.J., Hubert, M. (2000).
An improved algorithm for robust PCA, COMPSTAT: Proceedings in Computational Statistics, edited by J.G. Bethlehem and P.G.M. van der Heijden, Heidelberg, Springer Verlag, 481-486, ISBN 3-7908-1326-5.
  Hubert, M., Rousseeuw, P.J. (1995).
Application of RDL1 to a real data set with heteroscedastic errors, Proceedings of the Statistical Computing Section of the American Statistical Association, 52-56.