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.
Regression Techniques, M. Hubert, ACCO, Leuven, Belgium,
ISBN 90-334-5566-8, 2004.
Statistiek en Wetenschap, J. Beirlant, G. Dierckx and M. Hubert,
ACCO, Leuven, Belgium, ISBN 90-334-5691-5, 2004.
Tweede druk (herwerkte uitgave): ISBN 90-334-5878-0, 2005. Derde druk: ISBN 90-334-6066-1, 2006.
Slaets, L., Claeskens, G., Hubert, M. (201x).
Phase and amplitude-based clustering for functional data, Computational Statistics and Data Analysis, in press.
Hubert, M., Rousseeuw, P.J., Verdonck, T. (201x).
A deterministic algorithm for robust location and scatter,
Journal of Computational and Graphical Statistics, in press.
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, in press.
Debruyne, M., Hubert, M., Van Horebeek, J. (2010).
Detecting influential observations in kernel PCA, Computational Statistics and Data Analysis, 54, 3007-3019.
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.
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.
Debruyne, M., Hubert, M. (2009).
The influence function of the Stahel-Donoho covariance estimator of smallest outlyingness,
Statistics and Probability Letters, 79, 275-282.
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.
Debruyne, M., Hubert, M., Portnoy, S., Vanden Branden, K. (2008).
Censored depth quantiles, Computational Statistics and Data Analysis, 52, 1604 – 1614.
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.
Hubert, M., Engelen, S. (2007).
Fast cross-validation of high-breakdown resampling
methods for PCA, Computational Statistics and Data Analysis, 51, 5013-5024.
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.
Rousseeuw, P.J., Debruyne, M., Engelen, S., Hubert, M. (2006).
Robustness and outlier detection in chemometrics, Critical Reviews in Analytical Chemistry, 36, 221-242.
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.
Vanden Branden, K., Hubert, M. (2005).
Robust classification in high dimensions based on the
SIMCA method, Chemometrics and Intelligent Laboratory Systems, 79, 10-21.
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.
Brys, G., Hubert, M., Struyf, A. (2004).
A robust measure of
skewness, Journal of Computational and Graphical
Statistics, 13, 996-1017.
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.
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.
Hubert, M., and Verboven, S. (2003).
A robust PCR method for
high-dimensional regressors, Journal of Chemometrics, 17,
438-452.
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.
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.
Van Aelst, S., Rousseeuw, P.J., Hubert, M., Struyf, A. (2002).
The
deepest regression method, Journal of Multivariate Analysis, 81,
138-166.
Hubert, M. (2001).
Discussion on "Multivariate outlier detection and
robust covariance matrix estimation" by D. Peña and F. Prieto,
Technometrics, 43, 303-306.
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.
Rousseeuw, P.J., Van Aelst, S., Hubert, M. (1999).
Rejoinder to
discussion of "Regression depth", Journal of the American Statistical
Association, 94, 419-433.
Struyf, A., Hubert, M., Rousseeuw, P.J. (1997).
Integrating robust
clustering techniques in S-PLUS, Computational Statistics and Data
Analysis, 26, 17-37.
Rousseeuw, P.J., Hubert, M. (1997).
Recent developments in PROGRESS,
in L_1-Statistical Procedures and Related Topics, edited by Y.
Dodge. Institute of Mathematical Statistics Lecture Notes-Monograph
Series, Volume 31, Hayward, California, 201-214.
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.
Hubert, M., Rousseeuw, P.J. (1997).
Robust regression with both
continuous and binary regressors, Journal of Statistical Planning and
Inference, 57, 153-163.
Struyf, A., Hubert, M., Rousseeuw, P.J. (1996).
Clustering in an
object-oriented environment, Journal of Statistical Software, 1,
Issue 4, 1-30.
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.
Rousseeuw, P.J., Hubert, M. (1996).
Regression-free and robust
estimation of scale for bivariate data, Computational Statistics and
Data Analysis, 21, 67-85.
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.
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, in Comprehensive
Chemometrics, volume 1, edited by S. Brown, R. Tauler, B. Walczak, Elsevier, Oxford, 189-211.
Hubert, M. (2009).
Robust Calibration, in 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. In : Practical guide to chemometrics. Edited by P. Gemperline, CRC Press, pages 167-215. ISBN: 1574447831.
Hubert, M., Rousseeuw, P.J., Van Aelst, S. (2005).
Multivariate
outlier detection and Robustness, in 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, pages 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, pp. 1515-1529.
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.
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.
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, pages 576-581.
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.
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.
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.
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.
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.
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.
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.
Brys, G., Hubert, M., Struyf, A. (2003).
A comparison of some new
measures of skewness, in 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, in 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, in 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, in 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 RDL_1 to a real
data set with heteroscedastic errors, in Proceedings of the
Statistical Computing Section of the American Statistical
Association, 52-56.
Theory and Applications of Recent Robust Methods, M. Hubert, G. Pison, A. Struyf and S. Van Aelst (Eds.),
