Curriculum Vitae of Mia Hubert

March, 2017

Born : October 29, 1970 in Ekeren, BelgiumAddress : Celestijnenlaan 200B, BE-3001 Leuven, BelgiumPhone : + 32 16.32.20.23 (KU Leuven)Email : Mia.Hubert@kuleuven.beWebsite : http://wis.kuleuven.be/stat/robustFamily : married, two children

DIPLOMAS

- July 1992: Graduate in Mathematics, great distinction, University of Antwerp. Title ofdiploma thesis: Stability of non-linear methods for ordinary differential equations. Advi-sor: Prof. dr. L. Wuytack.

- July 1992: Teaching qualification, University of Antwerp.

- December 1997: Ph.D. degree in Statistics, greatest distinction and felicitations of thejury, University of Antwerp. Title of Ph.D. thesis: Robust regression for data analysis.Advisor: Prof. dr. P.J. Rousseeuw.

POSITIONS HELD

- October 1, 1992 to July 31, 1998: Research assistant in Statistics and Numerical Analysis,at the department of Mathematics and Computer Science of the University of Antwerp.

- August 1, 1998 to September 30, 1999: Head of the department of Education and Research,Central Computer Services, University of Antwerp (UFSIA).

- October 1, 1998 to September 30, 2001: Charge de cours invite at the University of Louvain(UCL).

- October 1, 1999 to September 30, 2001: Postdoctoral fellow at the Funds for ScientificResearch (FWO), associated with the research group of Statistics at the department ofMathematics and Computer Science, University of Antwerp.

- October 1, 1999 to September 30, 2000: Guest professor at the University of Ghent (RUG).

- May 1, 2001 to September 30, 2005: Assistant professor at the University of Antwerp(10%).

- October 1, 2001 to September 30, 2004: Assistant professor at KU Leuven (University ofLeuven), department of Mathematics.

1

- October 1, 2004 to September 30, 2011: Associate professor at KU Leuven, department ofMathematics.

- From October 1, 2011: Professor at KU Leuven, department of Mathematics.

TEACHING

Current teaching load:

- Statistical Models and Data Analysis (Bachelor Mathematics, Master Civil Engineering)

- Social Statistics (Bachelor Social Sciences)

RESEARCH TOPICS:

- Robust statistics: development of robust procedures, algorithms and outlier detectiontools for univariate data (skewness, tail weight, adjusted boxplot, extreme value index),multivariate data (covariance, regression, classification, skewness), high-dimensional data(PCA, PCR, PLS, kernel methods, classification, sparse PCA), multiway data (parafac),functional data (outlier detection).

- Depth-based procedures: regression depth, multivariate functional depth.

- Development of statistical software: cluster (R), LIBRA (Matlab), mrfDepth (R), rospca(R).

PUBLICATIONS

Technical reports:

1. Rousseeuw, P.J., Hubert, M. (2015), Statistical depth meets computational geometry: ashort survey. arXiv:1508.03828.

2. Hubert, M., Raymaekers, J., Rousseeuw, P.J., Segaert, P. (2016), Finding outliers insurface data and video. arXiv:1601.08133.

3. Rousseeuw, P.J., Raymaekers, J., Hubert, M. (2016), A measure of directional outlying-ness with applications to image data and video. arXiv:1608.05012.

Books and books as editor:

1. Hubert, M. (2004), Regression Techniques, Acco, Leuven, Belgium. ISBN: 90-334-5566-8.

2. Beirlant, B., Dierckx, G., Hubert, M. (2004), Statistiek en Wetenschap, Acco, Leuven.ISBN: 90-334-5691-5.

2

3. 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,2004. ISBN: 3-7643-7060-2.

4. Hubert, M., Vanpaemel, D., Dierckx, G., Beirlant, J. (2015), Statistiek en Wetenschap,Acco, Leuven. ISBN: 978-90-334-9626-4.

5. Hubert, M., Vanpaemel, D. (2016), Statistiek en Wetenschap, Oefeningen, Acco, Leuven.ISBN: 978-94-629-2576-2.

Journal papers:

1. Rousseeuw, P.J., Hubert, M. (1996), Regression-free and robust estimation of scale forbivariate data, Computational Statistics and Data Analysis, 21, 67–85.

2. Struyf, A., Hubert, M., Rousseeuw, P.J. (1997), Clustering in an object-oriented environ-ment, Journal of Statistical Software, 1, 1–30.

3. Hubert, M. (1997), The breakdown value of the L1-estimator in contingency tables, Statis-tics and Probability Letters, 33, 419–425.

4. Hubert, M., Rousseeuw, P.J. (1997), Robust regression with both continuous and binaryregressors, Journal of Statistical Planning and Inference, 57, 153–163.

5. Struyf, A., Hubert, M., Rousseeuw, P.J. (1997), Integrating robust clustering techniquesin S-PLUS, Computational Statistics and Data Analysis, 26, 17–37.

6. Hubert, M., Rousseeuw, P.J. (1998), The catline for deep regression, Journal of Multivari-ate Analysis, 66, 270–296.

7. Rousseeuw, P.J., Hubert, M. (1999), Regression depth, Journal of the American StatisticalAssociation, 94, 388–402.

8. Rousseeuw, P.J., Van Aelst, S., Hubert, M. (1999), Rejoinder to discussion of ”Regressiondepth”, Journal of the American Statistical Association, 94, 419–433.

9. Rousseeuw, P.J., Hubert, M. (1999), Depth in an arrangement of hyperplanes, Discreteand Computational Geometry, 22, 167–176.

10. Hubert, M. (2001), Comment on ”Multivariate outlier detection and robust covariancematrix estimation” by D. Pena and F. Prieto, Technometrics, 43, 18–21.

11. Hubert, M., Rousseeuw, P.J., Van Aelst, S. (2002), Comment on ”Inconsistency of Resam-pling Algorithms for High Breakdown Regression Estimators and a New Algorithm”, byD. M. Hawkins and D. Olive, Journal of the American Statistical Association, 97, 151–153.

12. Hubert, M., Rousseeuw, P.J., Verboven, S. (2002), A fast robust method for principalcomponents with applications to chemometrics, Chemometrics and Intelligent LaboratorySystems, 60, 101–111.

3

13. Van Aelst, S., Rousseeuw, P.J., Hubert, M., Struyf, A. (2002), The deepest regressionmethod, Journal of Multivariate Analysis, 81, 138–166.

14. 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 poste-rior capsulorrhexis (PCCC), Journal of Cataract and Refractive Surgery, 29, 2330–2338.

15. Hubert, M., Vanden Branden, K. (2003), Robust methods for Partial Least Squares re-gression, Journal of Chemometrics, 17, 537–549.

16. Hubert, M., Verboven, S. (2003), A robust PCR method for high-dimensional regressors,Journal of Chemometrics, 17, 438–452.

17. Brys, G., Hubert, M., Struyf, A. (2004), A robust measure of skewness, Journal of Com-putational and Graphical Statistics, 13, 1–22.

18. Hubert, M., Engelen, S. (2004), Robust PCA and classification in biosciences, Bioinfor-matics, 20, 1728–1736.

19. Hubert, M., Rousseeuw, P.J., Vanden Branden, K. (2004), Comment on ‘Location-scaledepth’ by I. Mizera and C. Muller, Journal of the American Statistical Association, 99,966–970.

20. Hubert, M., Van Driessen, K. (2004), Fast and robust discriminant analysis, ComputationalStatistics and Data Analysis, 45, 301-320.

21. Brys, G., Hubert, M., Rousseeuw, P.J. (2005), A robustification of independent componentanalysis, Journal of Chemometrics, 19, 364–375.

22. Vanden Branden, K., Hubert, M. (2004), Robustness properties of a robust PLS regressionmethod, Analytica Chimica Acta, 515, 229–241.

23. Engelen, S., Hubert, M. (2005), Fast model selection for robust calibration methods, An-alytica Chimica Acta, 544, 219–228.

24. Engelen, S., Hubert, M., Vanden Branden, K. (2005), A comparison of three proceduresfor robust PCA in high dimensions, Austrian Journal of Statistics, 34, 117–126.

25. Hubert, M., Rousseeuw, P.J., Vanden Branden, K. (2005), ROBPCA: a new approach torobust principal components analysis, Technometrics, 47, 64–79.

26. Vanden Branden, K., Hubert, M. (2005), Robust classification in high dimensions basedon the SIMCA method, Chemometrics and Intelligent Laboratory Systems, 79, 10–21.

27. Verboven, S., Hubert, M. (2005), LIBRA: a Matlab Library for Robust Analysis, Chemo-metrics and Intelligent Laboratory Systems, 75, 127–136.

28. Brys, G., Hubert, M., Struyf, A. (2006), Robust measures of tail weight, ComputationalStatistics and Data Analysis, 50, 733–759.

4

29. Rousseeuw, P., Debruyne, M., Engelen, S., Hubert, M. (2006), Robustness and outlierdetection in chemometrics, Critical Reviews in Analytical Chemistry, 36, 221–242.

30. Christmann, A., Steinwart, I., Hubert, M. (2007), Robust learning from bites for datamining, Computational Statistics and Data Analysis, 52, 347–361.

31. Engelen, S., Frosch Moller, S., Hubert, M. (2007), Automatically identifying scatter in flu-orescence data using robust techniques, Chemometrics and Intelligent Laboratory Systems,86, 35–51.

32. Hubert, M., Engelen, S. (2007), Fast cross-validation of high-breakdown resampling algo-rithms for PCA, Computational Statistics and Data Analysis, 51, 5013–5024.

33. Vandewalle, B., Beirlant, J., Christmann, A., Hubert, M. (2007), A robust estimator forthe tail index of Pareto-type distributions, Computational Statistics and Data Analysis,51, 6252–6268.

34. Brys, G., Hubert, M., Struyf, A. (2008), Goodness-of-fit tests based on a robust measureof skewness, Computational Statistics, 23, 429–442.

35. Debruyne, M., Hubert, M., Portnoy, S., Vanden Branden, K. (2008), Censored depthquantiles, Computational Statistics and Data Analysis, 52, 1604–1614.

36. Debruyne, M., Hubert, M., Suykens, J. (2008), Model selection for kernel regression usingthe influence function, Journal of Machine Learning Research, 9, 2377–2400.

37. Hubert, M., Rousseeuw, P.J., Van Aelst, S. (2008), High-breakdown robust multivariatemethods, Statistical Science, 23, 92–119.

38. Hubert, M., Van der Veeken, S. (2008), Outlier detection for skewed data, Journal ofChemometrics, 22, 235–246.

39. Hubert, M., Vandervieren, E. (2008), An adjusted boxplot for skewed distributions, Com-putational Statistics and Data Analysis, 52, 5186–5201.

40. Debruyne, M., Hubert, M. (2009), The influence function of the Stahel-Donoho covarianceestimator of smallest outlyingness, Statistics and Probability Letters, 79, 275–282.

41. Hubert, M., Rousseeuw, P.J., Verdonck, T. (2009), Robust PCA for skewed data and itsoutlier map, Computational Statistics and Data Analysis, 53, 2264-2274.

42. Hubert, M., Debruyne, M. (2009), Breakdown value, Wiley Interdisciplinary Reviews:Computational Statistics, Wiley, 1, 296-302.

43. Debruyne, M., Christmann, A., Hubert, M., Suykens, J. (2010), Robustness of ReweightedLeast Squares Kernel Based Regression, Journal of Multivariate Analysis, 101, 447-463.

44. Hubert, M., Debruyne, M. (2010), Minimum Covariance Determinant, Wiley Interdisci-plinary Reviews: Computational Statistics, Wiley, 2, 36–43.

5

45. Debruyne, M., Hubert, M., Van Horebeek, J. (2010), Detecting influential observations inkernel PCA, Computational Statistics and Data Analysis, 54, 3007–3019.

46. Verboven, S., Hubert, M. (2010), Matlab library LIBRA, Wiley Interdisciplinary Reviews:Computational Statistics, Wiley, 2, 509-515.

47. Hubert, M., Van der Veeken, S. (2010), Robust classification for skewed data, Advances inData Analysis and Classification, 4, 239–254.

48. Rousseeuw, P., Hubert, M. (2011), Robust statistics for outlier detection, WIREs DataMining and Knowledge Discovery, 1, 73–79.

49. Engelen, S., Hubert, M. (2011), Detecting outlying samples in a parallel factor analysismodel, Analytica Chimica Acta, 705, 155–165.

50. Fung, W.-K., He, X., Hubert, M., Portnoy, S., Wang, H.J. (2012), Editorial for the SpecialIssue on quantile regression and semiparametric methods, Computational Statistics andData Analysis, 56, 753–754.

51. Slaets, L., Claeskens, G., Hubert, M. (2012), Phase and amplitude-based clustering forfunctional data, Computational Statistics and Data Analysis, 56, 2360–2374.

52. Verboven, S., Hubert, M., Goos, P. (2012) Robust preprocessing and model selection forspectral data, Journal of Chemometrics, 26, 282–289.

53. Hubert, M., Van Kerckhoven, J., Verdonck, T. (2012), Robust PARAFAC for incompletedata, Journal of Chemometrics, 26, 290–298.

54. Hubert, M., Rousseeuw, P., Verdonck, T. (2012), A deterministic algorithm for robustlocation and scatter, Journal of Computational and Graphical Statistics, 21, 618–637.

55. Hubert, M., Dierckx, G., Vanpaemel, D. (2013), Detecting influential data points for theHill estimator in Pareto-type distributions, Computational Statistics and Data Analysis,65, 13–28.

56. Hubert, M., Gijbels, I., Vanpaemel, D. (2013), Reducing the mean squared error of quantileestimators by smoothing, Test, 22, 448–465.

57. Ceulemans, E., Hubert, M., Rousseeuw, P.J. (2013), Robust Multilevel Simultaneous Com-ponent Analysis, Chemometrics and Intelligent Laboratory Systems, 129, 33–39.

58. Hubert, M., Rousseeuw, P.J., Vakili, K. (2014), Shape bias of robust covariance estimators:an empirical study, Statistical Papers, 55, 15–28.

59. Claeskens, G., Hubert, M., Slaets, L., Vakili, K. (2014), Multivariate functional halfspacedepth, Journal of the American Statistical Association, 109, 411–42.

60. Hubert, M., Rousseeuw, P.J., Vanpaemel, D., Verdonck, T. (2015), The DetS and DetMMestimators for multivariate location and scatter, Computational Statistics and Data Anal-ysis, 81, 64–75.

6

61. Hubert, M., Rousseeuw, P., Segaert, P. (2015), Multivariate functional outlier detection,Statistical Methods & Applications, 24, 177–202.

62. Hubert, M., Rousseeuw, P., Segaert, P. (2015), Rejoinder to ‘Multivariate functional outlierdetection’, Statistical Methods & Applications, 24, 269–277.

63. De Ketelaere, B., Hubert, M., Schmitt, E. (2015), Overview of PCA-based statisticalprocess monitoring methods for time-dependent, high-dimensional data, Journal of QualityTechnology, 47, 318–335.

64. De Ketelaere, B., Rato, T., Schmitt, E., Hubert, M. (2016), Statistical process monitoringof time-dependent data, Quality Engineering, 28, 127–142.

65. De Ketelaere, B., Rato, T., Schmitt, E., Hubert, M. (2016), Rejoinder, Quality Engineer-ing, 28, 151–154.

66. Schmitt, E., Rato, T., Reis, M., De Ketelaere, B., Hubert, M. (2016), Parameter selectionguidelines for adaptive PCA-based control charts, Journal of Chemometrics, 30, 163–176.

67. Rato, T., Schmitt, E., De Ketelaere, B., Hubert, M., Reis, M. (2016), A systematic com-parison of statistical process monitoring methods for high-dimensional, time-dependentprocesses, AICHe Journal, 62, 1478–1493.

68. Hubert, M., Reynkens, T., Schmitt, E., Verdonck, T. (2016), Sparse PCA for high-dimensional data with outliers, Technometrics, 58, 424–434.

69. Plevka, V., Segaert, P., Tampere C., Hubert, M. (2016), Analysis of travel activity deter-minants using robust statistics, Transportation, 43, 979–996.

70. Hubert, M., Verdonck, T., Yorulmaz, O. (201x), Fast robust SUR with economical and ac-tuarial applications, Statistical Analysis and Data Mining, in press. doi:10.1002/sam.11313.

71. Hubert, M., Rousseeuw, P., Segaert, P. (201x), Multivariate and functional classifica-tion using depth and distance, Advances in Data Analysis and Classification, in press.doi:10.1007/s11634-016-0269-3.

Parts of books (with review):

1. Hubert, M., Rousseeuw, P.J. (1996), Robust regression with a categorical covariable, inRobust Statistics, Data Analysis, and Computer Intensive Methods, edited by H. Rieder.Lecture Notes in Statistics 109, Springer-Verlag, New York, 215–222.

2. Hubert, M., Rousseeuw, P.J. (1997), A regression analysis with categorical covariables,two-way heteroscedasticity, and hidden outliers, in The Practice of Data Analysis: Essaysin Honor of J.W. Tukey, edited by D.R. Brillinger, L.T. Fernholz and S. Morgenthaler,Princeton, New Jersey: Princeton University Press, 193–202.

3. Rousseeuw, P.J., Hubert, M. (1997), Recent developments in PROGRESS, in L1-StatisticalProcedures and Related Topics, edited by Y. Dodge. Institute of Mathematical StatisticsLecture Notes-Monograph Series, Volume 31, Hayward, California, 201–214.

7

4. Rousseeuw, P.J., Hubert, M. (1997), Regression depth, Encyclopedia of Statistical SciencesUpdate Volume 2, edited by S. Kotz, C. Read, and D. Banks. John Wiley, New York, 576-581.

5. 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.

6. Hubert, M., Rousseeuw, P.J., Van Aelst, S. (2001), Similarities between location depthand regression depth, Statistics in Genetics and in the Environmental Sciences, edited byL.T. Fernholz, S. Morgenthaler and W. Stahel, Basel, Birkhauser Verlag AG, 159–172.

7. Hubert, M., Rousseeuw, P.J., Verboven, S. (2003), Robust PCA for high-dimensionaldata, in Developments in Robust Statistics. International Conference on Robust Statistics2001, edited by R. Dutter, P. Filzmoser, U. Gather and P.J. Rousseeuw, Springer-Verlag,Heidelberg, 169–179.

8. Brys, G., Hubert, M., Struyf, A. (2003), A comparison of some new measures of skew-ness, in Developments in Robust Statistics. International Conference on Robust Statistics2001, edited by R. Dutter, P. Filzmoser, U. Gather and P.J. Rousseeuw, Physica-Verlag,Heidelberg, 98–113.

9. Engelen, S., Hubert, M., Vanden Branden, K., Verboven S. (2004), Robust PCR andRobust PLS: a comparitive study, in Theory and Applications of Recent Robust Methods,edited by M. Hubert, G. Pison, A. Struyf and S. Van Aelst, Series: Statistics for Industryand Technology, Birkhauser, Basel, 105–117.

10. Aucremanne, L., Brys, G., Hubert, M., Rousseeuw, P.J., Struyf, A. (2004), A study ofBelgian inflation, relative prices and nominal rigidities, in Theory and Applications ofRecent Robust Methods, edited by M. Hubert, G. Pison, A. Struyf and S. Van Aelst,Series: Statistics for Industry and Technology, Birkhauser, Basel, 13–25.

11. Vandewalle, B., Beirlant, J., Hubert, M. (2004), A robust estimator of the tail index basedon an exponential regression model, in Theory and Applications of Recent Robust Methods,edited by M. Hubert, G. Pison, A. Struyf and S. Van Aelst, Series: Statistics for Industryand Technology, Birkhauser, Basel, 367–376.

12. Hubert, M., Rousseeuw, P., Van Aelst, S. (2004), Robustness, in Encyclopedia of ActuarialScience, edited by J. Teugels and B. Sundt, Wiley, New York, 1515–1529.

13. Hubert, M., Rousseeuw, P.J., Van Aelst, S. (2005), Multivariate outlier detection andRobustness, 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, 263–302.

14. Hubert, M. (2006), Robust Calibration, in Practical guide to chemometrics, 2nd edition,edited by P. Gemperline, CRC Press, 167–215.

15. Gijbels, I., Hubert, M. (2009), Robust and nonparametric statistical methods, in Encyclo-pedia ”Comprehensive Chemometrics”, edited by B. Walczak, R. Tauler Ferre, S. Brown,Elsevier, volume 1, 189–211.

8

16. Hubert, M. (2009), Robust Calibration, in Encyclopedia ”Comprehensive Chemometrics”,edited by B. Walczak, R. Tauler Ferre, S. Brown, Elsevier, volume 3, 315–343.

17. Hubert, M., Rousseeuw, P. (2011), Multivariate techniques, Robustness, in InternationalEncyclopedia of Statistical Science, edited by M. Lovric, Berlin: Springer-Verlag, 932–935.

18. Debruyne, M., Hubert, M, Suykens, J. (2011), Model selection for kernel regression usingthe influence function, in Hand-on Pattern Recognition, Challenges in Machine Learning,Volume I, edited by I. Guyon, G. Cawley, G. Dror, and A. Saffari. Microtome PublishingBrookline, Massachusetts, 195–218.

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

20. Rousseeuw, P.J., Hubert, M. (2017), Computation of robust statistics: depth, median andrelated measures, in Handbook of Discrete and Computational Geometry, third edition,edited by J.E. Goodman, J. O’Rourke, and C.D. Toth. CRC Press, 1537–1550.

Proceedings papers (with review):

1. Hubert, M., Rousseeuw, P.J. (1995), Application of RDL1 to a real data set with het-eroscedastic errors, in Proceedings of the Statistical Computing Section of the AmericanStatistical Association, 52–56.

2. 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 andP.G.M. van der Heijden, Heidelberg, Springer Verlag, 481–486, ISBN 3-7908-1326-5.

3. Hubert, M., Van Aelst, S., Rousseeuw, P.J. (2000), Applications of deepest regression,Computing Science and Statistics, 32, 439–446.

4. Verboven, S. and Hubert, M. (2002), Robust principal components regression, in COMP-STAT: Proceedings in Computational Statistics, edited by W. Hardle and B. Ronz, Physica-Verlag, Heidelberg, 515–520. ISBN 3-7908-1517-9.

5. Brys, G., Hubert, M., Struyf, A. (2004), A robustification of the Jarque-Bera test ofnormality, in COMPSTAT 2004, Proceedings in Computational Statistics, edited by J.Antoch, Springer-Verlag, Heidelberg, 753–760.

6. Debruyne, M., Hubert, M. (2004), Robust regression quantiles with censored data, inCOMPSTAT 2004, Proceedings in Computational Statistics, edited by J. Antoch, Springer-Verlag, Heidelberg, 887–893.

7. Engelen, S., Hubert, M. (2004), Fast cross-validation in robust PCA, in COMPSTAT 2004,Proceedings in Computational Statistics, edited by J. Antoch, Springer-Verlag, Heidelberg,989–996.

9

8. Vanden Branden, K., Hubert, M. (2004), Robust classification of high-dimensional data, inCOMPSTAT 2004, Proceedings in Computational Statistics, edited by J. Antoch, Springer-Verlag, Heidelberg, 1925–1932.

9. Vandervieren, E., Hubert, M. (2004), An adjusted boxplot for skewed distributions, inCOMPSTAT 2004, Proceedings in Computational Statistics, edited by J. Antoch, Springer-Verlag, Heidelberg, 1933–1940.

10. Verboven, S., Hubert, M. (2004), Matlab software for robust statistical methods, in COMP-STAT 2004, Proceedings in Computational Statistics, edited by J. Antoch, Springer-Verlag,Heidelberg, 1941–1946.

11. Engelen, S., Hubert, M., Vanden Branden, K. (2004), A comparison of three proceduresfor robust PCA in high dimensions, in Proceedings of CDAM’2004, VII InternationalConference Computer Data Analysis and Modeling: Robustness and Computer IntensiveMethods, Minsk, September 6-10, 2004, 11–17.

12. Vandervieren, E., Hubert, M. (2004), Introducing skewness in the boxplot, in Proceedingsof CDAM’2004, VII International Conference Computer Data Analysis and Modeling:Robustness and Computer Intensive Methods, Minsk, September 6-10, 2004, 122–126.

13. Verboven, S., Hubert, M. (2004), Robust Calibration in Matlab, in Proceedings of CDAM’2004,VII International Conference Computer Data Analysis and Modeling: Robustness andComputer Intensive Methods, Minsk, September 6-10, 2004, 184–189.

14. 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 comparisonof iterative weighting schemes, in Proceedings of the 19th International Conference onArtificial Neural Networks(ICANN 2009), Limassol, Cyprus, September 14-17, 2009, 100–110.

15. Hubert, M., Van der Veeken, S. (2010), Fast and robust classifiers adjusted for skewness, inProceedings of Compstat 2010, edited by Y. Lechevallier and G. Saporta, Springer-Verlag,Heidelberg, 1135–1142, ISBN 978-3-7908-2603-6.

16. Verdonck, T., Hubert, M., Rousseeuw, P. (2010), DetMCD in a calibration framework, inProceedings of Compstat 2010, edited by Y. Lechevallier and G. Saporta, Springer-Verlag,Heidelberg, 589–596, ISBN 978-3-7908-2603-6.

17. Vakili, K., Hubert, M., Rousseeuw, P. (2012), The MCS estimator of location and scatter,in 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.

18. Hubert, M., Claeskens, G., De Ketelaere, B., Vakili, K. (2012), A new depth-based ap-proach for detecting outlying curves, in Proceedings of COMPSTAT 2012, edited by A.Colubi, K. Fokianos, G. Gonzalez-Rodriguez, E.J. Kontoghiorghes, pp. 329-340, ISBN978-90-73592-32-2.

10

Reviews:

1. Hubert, M. (2008), Book review of ”Data Depth: Robust Multivariate Analysis, Computa-tional Geometry and Applications” by R. Liu, R. Serfling and D.L. Souvaine. Biometrics,64, 655–656.

2. Hubert, M. (2009), Book review of ”Applied Multiway Data Analysis” by P. Kroonenberg,Wiley, New Jersey. Journal of the American Statistical Association, 104 (486), page 856.

3. Hubert, M. (2011), Book review of ”Multivariate Nonparametric Methods with R. AnApproach Based on Spatial Signs and Ranks” by H. Oja, Biometrics, 67, 1674–1675.

PRESENTATIONS:

1. Robust regression with a categorical covariable. Workshop on ‘Robust Statistics, DataAnalysis and Computer Intensive Methods’. Bayreuth (Germany), June 10-12, 1994.

2. Regression-free and robust estimation of scale. COMPSTAT ’94, 11th Symposium on Com-putational Statistics. Vienna (Austria), August 22-26, 1994. In Proceedings of Compstat’94, edited by R. Dutter and W. Grossmann.

3. Robust regression with categorical covariables. Annual meeting of the ASA. Orlando(USA), August 13-17, 1995.

4. Robust regression with categorical covariables. Seminar at the University of Washington,Seattle (USA), August 21, 1995.

5. Application of RDL1 to a real data set with heteroscedastic errors. COMPSTAT ’96,12th Symposium on Computational Statistics. Barcelona (Spain), August 26-30, 1996. InProceedings of Compstat ’96, edited by A. Prat and E. Ripoll.

6. Robust regression with both continuous and binary regressors. Fourth Annual Meeting ofthe Belgian Statistical Society. La Roche (Belgium), October 10-11, 1996.

7. Recent developments in PROGRESS. Third International Conference on Statistical DataAnalysis based on the L1 norm and related methods. Neuchatel (Switzerland), August11-15, 1997. Invited.

8. Maak van het dieptepunt een hoogtepunt. Research Dag Wetenschappen, University ofAntwerp (UIA), January 16, 1998. Invited.

9. Regression depth. Seminar at the Institute of Statistics, Universite Catholique de Louvain,March 11, 1998. Invited.

10. Depth in regression. COMPSTAT ’98, 13th Symposium on Computational Statistics.Bristol (England), August 24-28, 1998. In Proceedings of Computational Statistics ’98,edited by R. Payne and P. Lane.

11

11. La regression robuste pour l’analyse des donnees. Seminar at the Faculty of Agriculture,Universite Catholique de Louvain, February 2, 1999. Invited.

12. From location depth to regression depth. Workshop on Statistical Methodology for theSciences: Environmetrics and Genetics. Ascona (Suisse), May 23-28, 1999.

13. Regression depth. Seminar at the University of Antwerp (RUCA), Department of Mathe-matics and Computer Science, November 19, 1999.

14. La regression robuste pour l’analyse des donnees. Seminar at the Universite Catholiquede Louvain (UCL), Institute of Statistics, January 14, 2000. Invited.

15. The deepest regression method: theory and applications. Seminar at the University ofLimburg (LUC), department of Mathematics, Physics and Computer Science, February 9,2000. Invited.

16. Een object georienteerde implementatie in S-PLUS van een robuuste regressiemethode metcontinue en binaire regressoren. S-PLUS gebruikersdag 2000, Vereniging voor Statistieken Operationele Research, Utrecht (The Netherlands), March 23, 2000. Invited.

17. Applications of deepest regression. Interface 2000: the 32nd symposium on the Interface:Computing Science and Statistics, New Orleans (USA), April 5-8, 2000. Invited.

18. Tests based on regression depth. Seminar at the University of California - Davis, depart-ment of Statistics, May 5, 2000. Invited.

19. Fast and robust principal component analysis. Seminar at the University of Leuven (KULeuven), department of Mathematics, November 8, 2000. Invited.

20. Depth quantiles as robust alternatives to regression quantiles. Seminar at the Universityof Leuven (KU Leuven), department of Economics, March 29, 2001. Invited.

21. Robust PCA for high-dimensional data. ICORS 2001: International Conference on RobustStatistics, Vorau (Austria), July 23-27, 2001.

22. Robust Principal Component Regression. Poster at the 6th Chemometrics Symposium,organized by the Belgian Chemometrics Society, Vrije Universiteit Brussel, October 12,2001. Co-author: Sabine Verboven.

23. Robust PCA for high-dimensional data. 9th Annual meeting of the Belgian StatisticalSociety, Oostende, October 12-13, 2001.

24. Robust analysis of high-dimensional data. Seminar at the University of Leuven (KU Leu-ven), department of Electrical Engineering, December 13, 2001. Invited.

25. Robust calibration based on a robust covariance estimator in high dimensions. Seminarat the University of Leuven (KU Leuven), University Centre of Statistics, March 1, 2002.Invited.

26. Robust PCA, PCR and PLS for high-dimensional data. Seminar at Dow Chemical, Mid-land (USA), April 25, 2002. Invited.

12

27. Robust calibration based on a robust covariance estimator in high dimensions. Seminar atthe University of Illinois at Urbana-Champaign (USA), department of Statistics, May 2,2002. Invited.

28. Robust calibration based on a robust covariance estimator in high dimensions. ICORS2002: International Conference on Robust Statistics, Vancouver (Canada), May 13-17,2002.

29. Robust calibration based on a robust covariance estimator in high dimensions. Seminar atthe University of Illinois at Chicago (USA), department of Mathematics, Statistics andComputer Science, June 10, 2002. Invited.

30. A robust PCR method for high-dimensional regressors and several response variables.Poster at ICRM 2002: International Chemometrics Research Meeting, Velthoven (TheNetherlands), May 26-30, 2002. Co-author: Sabine Verboven.

31. Tests based on regression depth and deepest regression. EMS 2002: European Meeting ofStatisticians, Prague (Czech Republic), August 18-24, 2002. Invited.

32. Robust estimation of heavy-tailed distributions. Poster at EMS 2002: European Meetingof Statisticians, Prague (Czech Republic), August 18-24, 2002. Co-authors: Jan Beirlant,Bjorn Vandewalle.

33. Robust PCA in high dimensions with applications to PCR and PLS. Kemometria ’02, or-ganized by the Hungarian Chemometrics Society, Tata (Hungary), September 29-October1, 2002. Invited.

34. Robust statistics toolbox in Matlab. Poster at the 7th Chemometrics Symposium, organizedby the Belgian Chemometrics Society, ExxonMobil Chemical Europe, Machelen (Belgium),December 4, 2002. Co-author: Sabine Verboven.

35. A robust PLS algorithm. Poster at the 7th Chemometrics Symposium, organized by theBelgian Chemometrics Society, ExxonMobil Chemical Europe, Machelen (Belgium), De-cember 4, 2002. Co-author: Karlien Vanden Branden.

36. Regression Lineaire Robuste et Estimation Robuste de la Covariance. Theorie, Algo-rithmes, Programmes, Applications. Seminar (3 hours) at Institut de Recherche en In-formatique de Toulouse (IRIT), Toulouse (France), April 03, 2003. Invited.

37. Robust PCA for the analysis of gene expression data. Poster at the 4th Belgian Bioinfor-matics Conference, Leuven (Belgium), May 13, 2003. Co-author: Sanne Engelen.

38. Robust methods for PLS. Colloquium Chemiometricum Mediterrameum, organized by theItalian Chemometrics Society and by the Group of Chemometrics of the Italian ChemicalSociety, Ustica (Italy), June 25-27, 2003. Invited.

39. Robust measures of tail weight. Poster at ICORS2003: International Conference on RobustStatistics, organized by the Statistics Group Antwerp, University of Antwerp, July 13-18,2003. Co-authors: Guy Brys and Anja Struyf.

13

40. A MATLAB toolbox for robust calibration. Poster at ICORS2003: International Conferenceon Robust Statistics, organized by the Statistics Group Antwerp, University of Antwerp,July 13-18, 2003. Co-author: Sabine Verboven.

41. Robust multivariate calibration. Gordon Research Conference on Statistics in Chemistryand Chemical Engineering, South Hadley (USA), July 27-August 1, 2003. Invited (withdiscussion).

42. Robust measures of tail weight. Poster at BSS2003: Annual meeting of the Belgian Sta-tistical Society, La-Roche-en-Ardennnes, October 10-11, 2003. Co-authors: Guy Brys andAnja Struyf.

43. Applications of robust PCA. Workshop on Robustness for High-Dimensional Data, RobHD2004, Vorau (Austria), May 5-8, 2004.

44. An improved boxplot for skewed distributions. ICORS04: International Conference on Ro-bust Statistics 2004, organized by the University of Illinois at Urbana-Champaign, Beijing(China), July 12-16, 2004. Invited.

45. An integrated squared errors approach to robust tail index estimation. Poster at COMP-STAT 2004, Prague, August 23-27, 2004. Co-authors: B. Vandewalle and J. Beirlant.

46. Robust classification of high-dimensional data. Poster at CAC-2004 (Chemometrics inAnalytical Chemistry), Lisbon (Portugal), September 20-23, 2004.

47. Robust classification in high dimensions based on the SIMCA method. Seminar at DowChemical Company, February 10, 2005. Invited.

48. Robust PCA for high-dimensional data with applications in regression and classification.Seminar at ULB, Departement of Mathematics, March 18, 2005. Invited.

49. Discussion on ’Robust Second-Order Accurate Inference for Generalized Linear Models’ byE. Ronchetti. Francqui Foundation Workshop, ULB, May 12-13, 2005. Invited.

50. A robust estimator for the tail index of Pareto-type distributions, Presentation at ICORS05,International Conference on Robust Statistics, Jyvaskyla (Finland), June 12-17, 2005.Invited.

51. Outlier detection by means of an adjusted boxplot. Seminar at the University of Dortmund,department of Statistics, July 19, 2005. Invited.

52. Fast cross-validation for high-breakdown resampling methods. Presentation at the Euro-pean Meeting of Statisticians, Oslo (Norway), July 24-28, 2005. Invited.

53. High-breakdown robust multivariate methods. Seminar at ETH Zurich, Zurich Colloquiumon Application-oriented Statistics, April 19, 2007. Invited.

54. Outlier detection for skewed distributions. Research seminar at ETH Zurich, Departmentof Mathematics - Seminar for Statistics, April 20, 2007. Invited.

14

55. Outlier detection for skewed distributions. Presentation at International Workshop onComputational and Financial Econometrics, University of Geneva, Geneva (Switzerland),April 20-22, 2007.

56. Robust PCA for skewed data. Presentation at ICORS 2007, International Conference onRobust Statistics, Buenos-Aires, Argentina, September 17-21, 2007. Invited.

57. Outlier detection for skewed data. Presentation at the General Assembly of the BelgianStatistical Society, February 21, 2008. Invited.

58. A robust transformation to symmetry. Presentation at ERCIM08, First Workshop of theERCIM Working Group on Computing and Statistics, Neuchatel (Switzerland), June 19-21, 2008. Invited.

59. A faster non-equivariant algorithm of the MCD. Presentation at ICORS 2008, InternationalConference on Robust Statistics, Antalya (Turkey), September 8-12, 2008. Invited.

60. A deterministic algorithm for the MCD estimator. Seminar at University of Liege, De-partment of Mathematics, December 5, 2008.

61. A faster deterministic algorithm for the MCD. Presentation at ERCIM09, Second Work-shop of the ERCIM Working Group on Computing and Statistics, Limassol (Cyprus),October 29-31, 2009. Invited.

62. Robust multivariate analysis in practice. Seminar at UCLouvain, Joint seminar Institutde Statistique and Alphonse Quetelet Society, March 19, 2010.

63. A deterministic algorithm for the LTS estimator. Presentation at ICORS 2010, Interna-tional Conference on Robust Statistics, Prague (Czech Republic), June 28-July 2, 2010.Invited.

64. Fast and robust classifiers adjusted for skewness. Presentation at Compstat 2010, 19thInternational Conference on Computational Statistics, Paris (France), August 22-27, 2010.

65. Faster robust calibration using DetMCD and DetLTS. Presentation at CAC-2010, 12thInternational Conference on Chemometrics in Analytical Chemistry, Antwerp (Belgium),October 18 - 21, 2010.

66. Robust classification for skewed data. Presentation at Mini-workshop on ”Level sets anddepth contours in high-dimensional data” at the Mathematisches Forschungsinstitut Ober-wolfach (Germany), February 27-March 5, 2011. Invited.

67. Robust analysis of skewed data. Seminar at the University of Naples Federico II, Depart-ment of Sociology, Naples (Italy), April 18, 2011.

68. Reducing the mean squared error of quantile-based estimators by smoothing. Presentationat ICORS 2011, International Conference on Robust Statistics, Valladolid (Spain), June27-July 1, 2011. Invited talk in the Session ”Computational Issues in Robustness”.

15

69. Deterministic algorithms for robust multivariate analysis. Presentation at StatistischeWoche (100 Year Anniversary of the German Statistical Society ”100 Jahre DStatG”),Leipzig (Germany), September 19-23, 2011. Invited in the Session ”Nonparametric andRobust Statistics”.

70. Multivariate functional halfspace depth. Presentation at the Workshop ”Robust Methodsfor Dependent Data”, Witten (Germany), February 26-29, 2012. Invited.

71. Robust PARAFAC for incomplete data. Presentation at TRICAP 2012, Bruges (Belgium),June 2-7, 2012.

72. A new depth-based approach for detecting outlying curves. Presentation at Compstat 2012,20th International Conference on Computational Statistics, Limassol (Cyprus), August 27-31, 2012. Invited.

73. Multivariate Functional Halfspace Depth. Presentation at ERCIM 2012, 5th InternationalConference of the ERCIM Working Group on Computing and Statistics, Oviedo (Spain),December 1-3, 2012. Invited talk in session on ‘Statistical inference based on depth’.

74. Multivariate Functional Halfspace Depth. Presentation at the ISI 59th World StatisticsCongress, Hong Kong, August 25-30, 2013. Invited talk in session on ‘Depth-based proce-dures for high-dimensional and functional data’.

75. Discussion. Discussant of the session ’Multivariate non-parametric methods with applica-tions to high dimensional data’, ISI 59th World Statistics Congress, Hong Kong, August25-30, 2013. Invited.

76. Depth-based classification of multivariate functional data. Presentation at CLADAG2013,9th Scientific meeting of the Classification and Data Analysis Group, Modena (Italy),September 18-20, 2013. Plenary invited talk.

77. Robust Statistics: Why and How?. Presentation at Joint Research Centre, Ispra (Italy),October 9, 2013.

78. Multivariate functional halfspace depth, with applications to the classification of multivari-ate curves. Seminar at the department of Mathematics, Politecnico di Milano (Italy),November 12, 2013.

79. Depth-based classification of multivariate functional data. Presentation at ERCIM 2013,London (UK), December 14-16, 2013. Invited.

80. From multivariate depth to functional depth. Presentation at the Workshop on Nonpara-metric Multivariate Statistics, University of Cologne (Germany), January 31, 2014. In-vited.

81. Detecting outlying behavior of curves. Presentation at the second ISNPS conference, Cadiz(Spain), June 12-16, 2014. Invited.

16

82. Classification of curves by means of multivariate functional depth. Presentation at theInternational Indian Statistical Association Conference On Research Innovations in Statis-tics for Health, Education, Technology, and Society, Riverside (USA), July 11-13, 2014.Invited.

83. An overview of recent developments in robust methods. Keynote lecture at ICRM 2014, 6thInternational Chemometrics Research Meeting, Nijmegen (The Netherlands), September14-18, 2014.

84. An introduction to robust statistics. Seminar at the department of Economics, Universityof Parma, November 6, 2014.

85. Sparse PCA for high-dimensional data with outliers. Presentation in the IASC-CSDAJournal Invited Paper Session. ISI2015, 60the World Statistics Congress, Rio de Janeiro(Brazil), July 26-31, 2015.

86. Functional outlier detection for image data. Presentation at Conferentia Chemometrica2015. Budapest (Hungary), September 13-16, 2015. Invited.

87. Fast and robust SUR. Presentation at CLADAG2015, 10th Scientific meeting of the Clas-sification and Data Analysis Group, Cagliari (Italy), October 8-10, 2015. Invited.

88. The mrfDepth package for multivariate, regression and functional depth. Presentation atCMStatistics 2015, London (UK), December 12-14, 2015. Invited.

89. Functional outlier detection with applications to MRI image data. Presentation at 61stRBras, Salvador (Brazil), May 23-25, 2016. Invited.

90. Sparse PCA for high-dimensional data with outliers. Presentation at ICORS 2016, Geneva(Switzerland), July 4-8, 2016. Invited.

91. The functional outlier map for detecting and classifying functional outliers. Presentationat CMStatistics 2016, Seville (Spain), December 9-11, 2016. Invited.

ORGANISATION OF CONFERENCES

- Co-organizer of the 5th Annual Meeting of the Belgian Statistical Society. Mol (Belgium),October 9-10, 1997.

- Organizer of a (double) session on ’Depth and regression depth’ of the 34emes Journeesde Statistiques, annual meeting of the Societe Francaise de Statistique, May 13-17, 2002,organized by UCL and ULB.

- Member of the Scientific Committee of the 18th International Workshop on StatisticalModelling, Leuven, July 7-11, 2003, jointly organized by the Biostatistical Centre of theUniversity of Leuven and the Center for Statistics of the University of Diepenbeek. Alsochair of a session on Time series / spatial data.

17

- Co-organizer and member of the scientific committee of ICORS2003, International Confer-ence on Robust Statistics, Antwerp (Belgium), July 13-18, 2003, organized by the Statisticsgroup (dept. Mathematics and Computer Science) of the University of Antwerp.

- since 2007: member of the ICORS steering committee (responsible for the organisation ofthe ICORS meetings)

- Co-organizer of LSD2008: Third Leuven Statistical Day, KU Leuven, May 23, 2008 on’Statistical methods for high-dimensional data’.

- member of the Scientific Programme Committee of ERCIM’08, First Workshop of theERCIM Working Group on Computing and Statistics, June 19-21, 2008, Neuchatel. Or-ganizer and chair of a session on ’Robust methods for data analysis’.

- member of the Scientific Programme Committee of ICORS’08, International Conferenceon Robust Statistics, September 8-12, 2008, Antalya (Turkye). Chair of a session.

- member of the Scientific and Local Organizing committee of FMSR 2008: InternationalWorkshop on Flexible Modelling: Smoothing and Robustness. November 11-14, 2008,Leuven. Chair of a session.

- member of the Scientific Programme Committee of ERCIM’09: Second Workshop of theERCIM Working Group on Computing and Statistics, October 29-31, 2009, Limassol(Cyprus). Organizer and chair of a session.

- member of the Scientific Programme Committee of CAC-2010: Chemometrics in AnalyticalChemistry conference, October 18-21, 2010, Antwerp, Belgium. Member of the jury forposter competition.

- member of the Scientific Programme Committee of ERCIM’10: Third Workshop of theERCIM Working Group on Computing and Statistics, December 10-13, 2010, London.Also responsible for a track on Quantile regression and semiparametric methods.

- organizer of a mini-workshop on ’Level sets and depth contours in high-dimensional data’,Mathematisches Forschungsinstitut Oberwolfach, Oberwolfach, February 27, 2011-March3, 2011. Reporter of the Oberwolfach report.

- member of the Scientific Committee of ICORS’11, International Conference on RobustStatistics, 27 June-1 July, 2011, Valladolid, Spain.

- member of the Scientific Committee of ERCIM’11, Fourth Workshop of the ERCIM Work-ing Group on Computing and Statistics, December 16-18, 2011, London. Co-chair of atrack on Quantile regression and semiparametric methods.

- member of the Scientific Programme Committee of COMPSTAT2012, 20th InternationalConference on Computational Statistics, August 27-31, 2012. Limassol, Cyprus. Organiserand chair of an invited session on Robust Multivariate Statistical Methods.

18

- member of the Program Committee of a special session on “Robust Learning with KernelMethods” for WCCI2012, World Congress on Computational Intelligence”’, Brisbane, June10-15, 2012.

- member of the Scientific Committee of CAC-2012: Chemometrics in Analytical Chemistryconference, Budapest (Hungary), June 25-29, 2012.

- member of the Scientific Committee of ERCIM’12, Fifth Workshop of the ERCIM WorkingGroup on Computing and Statistics, Oviedo (Spain), December 1-3, 2012. Co-chair of atrack on Robust Analysis of Complex Data Sets. Chair of an invited session.

- organizer of a Special Topics Session “Depth-based procedures for high-dimensional andfunctional data” at the 59th World Statistics Congress, Hong Kong, August 25-30, 2013.(together with K. Mosler).

- member of the Scientific Committee of ERCIM’13, Sixth Workshop of the ERCIM WorkingGroup on Computing and Statistics, London, December 14-16, 2013. Co-chair of a trackon Robust Analysis of Complex Data Sets. Organizer of a session.

- organizer of an Invited Paper Session “Robustness and outlier detection in advanced datastructures” at the 60th World Statistics Congress, Rio de Janeiro, July 26-31, 2015.

- co-chair of the 8th International Conference of the ERCIM WG on Computational andMethodological Statistics (CMStatistics 2015), London, December 12-14, 2015.

- organizer of “Workshop celebrating Peter Rousseeuw’s 60th birthday”, Leuven, May 31-June 2, 2017.

DOCTORAL STUDENTS

Advisor of:

1. Sabine Verboven (University of Antwerp), ‘Robust calibration methods’, June 4, 2004.

2. Karlien Vanden Branden (KU Leuven), ‘Robust methods for high- dimensional data, anda theoretical study of depth-related estimators’, May 13, 2005.

3. Guy Brys (University of Antwerp), ‘Skewness and related topics in the presence of outliers’,March 17, 2006.

4. Sanne Engelen (KU Leuven), ‘Algorithms for robust PCA and applications for multi-waydata’, June 21, 2006.

5. Michiel Debruyne (KU Leuven), ‘Robustness of censored depth quantiles, PCA and kernelbased regression, with new tools for model selection’, July 5, 2007.

6. Tim Verdonck (University of Antwerp), ‘New robust methods in multivariate statisticsand actuarial sciences’, October 23, 2009.

19

7. Stephan Van der Veeken (KU Leuven), ‘Robust and nonparametric methods for skeweddata’, December 22, 2010.

8. Dina Vanpaemel (KU Leuven), ‘Improved outlier detection combining extreme value, non-parametric and robust statistics’, May 3, 2013.

9. Eric Schmitt (KU Leuven), ‘PCA-based methods for monitoring high-dimensional, time-dependent processes’, September 22, 2016.

10. Wannes Van den Bossche (KU Leuven), ‘Detecting cellwise outliers’, ongoing (2014-2017).

11. Iwein Vranckx (KU Leuven and Tomra), ‘Development and implementation of realtime,robust statistical methods for novel applications in food sorting’, ongoing (2016-2020).

I was co-advisor of Ellen Vandervieren (UA, 2010), Koen Mahieu (KU Leuven, 2010), FrancescaDi Girolamo (KU Leuven, 2013), Sara Maccaferri (KU Leuven, 2013), Stanislav Nagy (KU Leu-ven, 2016).Currently I’m co-advisor of Pieter Segaert and Jakob Raymaekers (KU Leuven, department ofMathematics).

Member of PhD committees outside KU Leuven:

1. Jorn de Haan (Radboud University Nijmegen, The Netherlands), ‘Improvements in theanalysis of microarray data’, February 2, 2011.

2. Florence Guillaume (EURANDOM, The Netherlands), ‘Applications of Levy processes incredit and volatility modelling’, January 25, 2011.

3. Connie S.N. Li Wai Suen (La Trobe University, Australia), ‘Influence Diagnostics for High-Dimensional Principal Component Analysis’, May 2012.

4. Subhajit Dutta (Indian Statistical Institute, Kolkata), ‘Some contributions to discriminantanalysis using different notions of data depth’, November 2012.

5. Germain Van Bever (ULB, Belgium), ‘Contributions to Nonparametric and Semiparamet-ric Inference based on Statistical Depth’, September 9, 2013.

6. Bernard Francq (UCL, Belgium), ‘Errors-in-variables regressions to assess equivalence inmethod comparison studies’, October 23, 2013.

7. Jan Andries (Radboud University Nijmegen, The Netherlands), ‘Improvements in sampleand variable selection in multivariate calibration’, January 16, 2015.

20

PRIZES

- Winner of the Young Author’s Award (one of the best three contributions by young partici-pants) at COMPSTAT 2002 (August, Berlin). Winning talk and paper: ”Robust PrincipalComponent Regression”, by S. Verboven and M. Hubert.

- The paper “ROBPCA: A new approach to robust principal component analysis” (Techno-metrics, 2005) has been identified by Thomson Reuters’ Essential Science Indicators SMto be one of the most cited papers in the research area of “Robust Principal ComponentAnalysis”. As such Thomson Reuters’ Science Watch has selected this paper as a featuredFast Moving Front paper.See http://sciencewatch.com/dr/fmf/2009/09janfmf/09janfmfHube/

MEMBERSHIPS

- Belgian Statistical Society

- International Association for Statistical Computing

- American Statistical Association

- Elected member International Statistical Institute (since 2013)

PROJECTS and GRANTS

1. 01/01/01 - 31/12/03: Krediet aan Navorser (FWO). Title: New robust methods for theanalysis of multi-dimensional data. Budget: 350.000 Bfr.

2. 2002: Research grant from Dow Chemical Company, Michigan, USA ($10000). Titleproject: Selection of the number of components in robust PCR and robust PLS.

3. 01/01/2004-31/12/2007: FWO research grant G.0499.04. Title: Integration of parametricrobust methods and non-parametric kernel-based methods. Co-advisors: B. De Moor andJ. Suykens. Budget: 152.898,14 euro (personnel) + 94.067,04 euro (operating cost).

4. 2004: Research grant from Dow Chemical Company, Michigan, USA ($10.000). Project:Robust multiway PCA.

5. 2005: Research grant from Dow Chemical Company, Michigan, USA ($10.000). Project:Robust multiway PCA.

6. 01/01/2007-30/09/2011: member of IAP-network (Phase VI 2007-2011): Statistical Anal-ysis of Association and Dependence in Complex Data.

7. 01/10/2006-30/09/2011: Internal funds KU Leuven (GOA/2007/04). Non-parametric andsemi-parametric techniques and robust methods in statistical analyses. Co-advisors: IreneGijbels, Christophe Croux, Gerda Claeskens. Budget 1.330.000 euro.

21

8. 01/12/2007-30/11/2009: Postdoctoral research grant of IWT for Sabine Verboven. Aca-demic promoters: Prof. Dr. Peter Goos (advisor, University of Antwerp), Prof. Dr.Mia Hubert (co-advisor, KU Leuven), Industrial advisor: Dr. Marnix Deschrijver (AveveVeevoeding). Title: Controlling the quality of animal feed: Developing a robust calibrationmodel for large particle sized NIR-spectra. Budget: 71.677 euro.

9. 01/01/2008-31/12/2011: FWO Research project G.0436.08. Title: Multivariate extremevalue analysis. Co-advisor: Jan Beirlant. Budget: 33.330 euro.

10. 01/12/2009-31.12.2011: IWT - KMO - TOPSPORTLAB ZL391701. Title: Predictie vanblessures bij topsporters. Budget: 37.935 euro.

11. 01/01/2012: Internal funds KU Leuven (GOA/12/010) . Title: FLEXibel STATisticalmodeling and ROBust analysis of advanced data structures. Co-advisors: Irene Gijbels,Christophe Croux, Gerda Claeskens. Budget: 1.250.000 euro.

12. 01/01/2012-31/12/2017: member of IAP-network (Phase VII): Developing crucial Statis-tical methods for Understanding major complex Dynamic Systems in natural, biomedicaland social sciences.

13. 01/01/2015-31/12/2017: H2020 (project 644425), SCISSOR: Security in trusted SCADAand smart-grids. Co-partner in a European consortium with 9 partners. Budget: 201.875euro.

14. 01/10/2015-30/09/2021: Internal funds KU Leuven (C16/15/068). Title: SMILE Statis-tical Methodology for Immense Lively Experiments. Co-advisors: Stefan Van Aelst, PeterRousseeuw, Tim Verdonck. Budget: 1.078.800 euro.

EDITORIAL ACTIVITIES

- Board member of the Belgian Statistical Society (2001-2006), and editor of their newletter‘B-Stat News’ (2002-2005).

- 2001-2005: Associate editor of ‘Journal of Computational and Graphical Statistics’.

- 2007-2011: Associate editor of ‘Computational Statistics and Data Analysis’.

- since 2008: member of the Editorial Board of ‘Journal of Chemometrics’.

- since 2008: Associate editor of ‘Technometrics’.

- 2012: Guest editor of a special CSDA issue on Quantile regression and semiparametricmethods.

- since 2016: Associate editor of ‘Statistical Methods and Applications’.

22

ADMINISTRATIVE FUNCTIONS

- 01/10/2004 - 19/04/2009: head of the Section of Statistics, department of Mathematics.Member of department board.

- 01/10/2009 - 30/09/2014: member of the ‘facultaire doctoraatscommissie’, Faculty ofScience.

- 01/02/2010 - 30/09/2014: member of the LStat admission committee for the Master ofStatistics.

- 2010 - 2014: elected member of the Board of Directors of the European Regional Section(ERS) of the International Association for Statistical Computing (IASC).

- 10/11/2011 - 30/09/2014: head of the Section of Statistics, department of Mathematics.Member of department board.

- 01/08/2014 - 30/10/2015: Program director Bachelor and Master Mathematics, KU Leu-ven.

- 30/03/2015 - 29/03/2019: member of the Management Committee of the European COSTAction IC1408: Computationally-intensive methods for the robust analysis of non-standarddata (CRoNoS).

23