Year |
Citation |
Score |
2021 |
Riani M, Hubert M. Editorial, special issue on "Advances in Robust Statistics". Metron. 1-5. PMID 34219810 DOI: 10.1007/s40300-021-00213-w |
0.409 |
|
2021 |
Riani M, Hubert M. Editorial, special issue on "Advances in Robust Statistics". Metron. 1-5. PMID 34219810 DOI: 10.1007/s40300-021-00213-w |
0.409 |
|
2020 |
De Ketelaere B, Hubert M, Raymaekers J, Rousseeuw PJ, Vranckx I. Real-time outlier detection for large datasets by RT-DetMCD Chemometrics and Intelligent Laboratory Systems. 199: 103957. DOI: 10.1016/J.Chemolab.2020.103957 |
0.487 |
|
2019 |
Hubert M, Rousseeuw PJ, Van den Bossche W. MacroPCA: An All-in-One PCA Method Allowing for Missing Values as Well as Cellwise and Rowwise Outliers Technometrics. 61: 459-473. DOI: 10.1080/00401706.2018.1562989 |
0.441 |
|
2019 |
Rousseeuw P, Perrotta D, Riani M, Hubert M. Robust Monitoring of Time Series with Application to Fraud Detection Econometrics and Statistics. 9: 108-121. DOI: 10.1016/J.Ecosta.2018.05.001 |
0.353 |
|
2018 |
Rousseeuw PJ, Raymaekers J, Hubert M. A Measure of Directional Outlyingness With Applications to Image Data and Video Journal of Computational and Graphical Statistics. 27: 345-359. DOI: 10.1080/10618600.2017.1366912 |
0.417 |
|
2017 |
Rousseeuw PJ, Hubert M. Anomaly detection by robust statistics Wires Data Mining and Knowledge Discovery. 8. DOI: 10.1002/Widm.1236 |
0.53 |
|
2017 |
Hubert M, Debruyne M, Rousseeuw PJ. Minimum covariance determinant and extensions Wires Computational Statistics. 10. DOI: 10.1002/Wics.1421 |
0.551 |
|
2017 |
Hubert M, Verdonck T, Yorulmaz Ö. Fast robust SUR with economical and actuarial applications Statistical Analysis and Data Mining. 10: 77-88. DOI: 10.1002/Sam.11313 |
0.505 |
|
2016 |
Engelen S, Hubert M, Branden KV. A Comparison of Three Procedures for Robust PCA in High Dimensions Austrian Journal of Statistics. 34: 117-126. DOI: 10.17713/Ajs.V34I2.405 |
0.48 |
|
2016 |
Ketelaere BD, Rato T, Schmitt E, Hubert M. Statistical process monitoring of time-dependent data Quality Engineering. 28: 127-142. DOI: 10.1080/08982112.2015.1100474 |
0.325 |
|
2016 |
Hubert M, Reynkens T, Schmitt E, Verdonck T. Sparse PCA for High-Dimensional Data With Outliers. Technometrics. 58: 424-434. DOI: 10.1080/00401706.2015.1093962 |
0.482 |
|
2016 |
Hubert M, Rousseeuw P, Segaert P. Multivariate and functional classification using depth and distance Advances in Data Analysis and Classification. 11: 445-466. DOI: 10.1007/S11634-016-0269-3 |
0.468 |
|
2016 |
Plevka V, Segaert P, Tampère CMJ, Hubert M. Analysis of travel activity determinants using robust statistics Transportation. 43: 979-996. DOI: 10.1007/S11116-016-9718-2 |
0.447 |
|
2016 |
Schmitt E, Rato T, De ketelaere B, Reis M, Hubert M. Parameter selection guidelines for adaptive PCA-based control charts Journal of Chemometrics. DOI: 10.1002/Cem.2783 |
0.397 |
|
2016 |
Rato T, Reis M, Schmitt E, Hubert M, De Ketelaere B. A systematic comparison of PCA-based Statistical Process Monitoring methods for high-dimensional, time-dependent Processes Aiche Journal. DOI: 10.1002/Aic.15062 |
0.478 |
|
2015 |
Ketelaere BD, Hubert M, Schmitt E. Overview of PCA-Based Statistical Process-Monitoring Methods for Time-Dependent, High-Dimensional Data Journal of Quality Technology. 47: 318-335. DOI: 10.1080/00224065.2015.11918137 |
0.49 |
|
2015 |
Hubert M, Rousseeuw P, Vanpaemel D, Verdonck T. The DetS and DetMM estimators for multivariate location and scatter Computational Statistics & Data Analysis. 81: 64-75. DOI: 10.1016/J.Csda.2014.07.013 |
0.454 |
|
2015 |
Hubert M, Rousseeuw PJ, Segaert P. Multivariate functional outlier detection Statistical Methods and Applications. 24: 177-202. DOI: 10.1007/S10260-015-0297-8 |
0.393 |
|
2014 |
Claeskens G, Hubert M, Slaets L, Vakili K. Multivariate functional halfspace depth Journal of the American Statistical Association. 109: 411-423. DOI: 10.1080/01621459.2013.856795 |
0.365 |
|
2014 |
Hubert M, Rousseeuw P, Vakili K. Shape bias of robust covariance estimators: An empirical study Statistical Papers. 55: 15-28. DOI: 10.1007/s00362-013-0544-8 |
0.39 |
|
2013 |
Hubert M, Dierckx G, Vanpaemel D. Detecting influential data points for the Hill estimator in Pareto-type distributions Computational Statistics and Data Analysis. 65: 13-28. DOI: 10.1016/J.Csda.2012.07.011 |
0.461 |
|
2013 |
Ceulemans E, Hubert M, Rousseeuw P. Robust multilevel simultaneous component analysis Chemometrics and Intelligent Laboratory Systems. 129: 33-39. DOI: 10.1016/J.Chemolab.2013.06.016 |
0.494 |
|
2013 |
Hubert M, Gijbels I, Vanpaemel D. Reducing the mean squared error of quantile-based estimators by smoothing Test. 22: 448-465. DOI: 10.1007/S11749-012-0293-3 |
0.522 |
|
2013 |
Rousseeuw P, Hubert M. High-breakdown estimators of multivariate location and scatter Robustness and Complex Data Structures: Festschrift in Honour of Ursula Gather. 49-66. DOI: 10.1007/978-3-642-35494-6_4 |
0.363 |
|
2012 |
Hubert M, Rousseeuw PJ, Verdonck T. A deterministic algorithm for robust location and scatter Journal of Computational and Graphical Statistics. 21: 618-637. DOI: 10.1080/10618600.2012.672100 |
0.42 |
|
2012 |
Fung WK, He X, Hubert M, Portnoy S, Wang HJ. Editorial for the special issue on quantile regression and semiparametric methods Computational Statistics and Data Analysis. 56: 753-754. DOI: 10.1016/J.Csda.2011.12.012 |
0.448 |
|
2012 |
Hubert M, Van Kerckhoven J, Verdonck T. Robust PARAFAC for incomplete data Journal of Chemometrics. 26: 290-298. DOI: 10.1002/Cem.2452 |
0.532 |
|
2012 |
Verboven S, Hubert M, Goos P. Robust preprocessing and model selection for spectral data Journal of Chemometrics. 26: 282-289. DOI: 10.1002/Cem.2446 |
0.757 |
|
2011 |
Engelen S, Hubert M. Detecting outlying samples in a parallel factor analysis model. Analytica Chimica Acta. 705: 155-65. PMID 21962358 DOI: 10.1016/J.Aca.2011.04.043 |
0.539 |
|
2011 |
Hubert M. Multivariate Nonparametric Methods with R. An Approach Based on Spatial Signs and Ranks by OJA, H Biometrics. 67: 1674-1675. DOI: 10.1111/J.1541-0420.2011.01702.X |
0.321 |
|
2011 |
Rousseeuw PJ, Hubert M. Robust statistics for outlier detection Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 1: 73-79. DOI: 10.1002/Widm.2 |
0.543 |
|
2010 |
Debruyne M, Christmann A, Hubert M, Suykens JAK. Robustness of reweighted Least Squares Kernel Based Regression Journal of Multivariate Analysis. 101: 447-463. DOI: 10.1016/J.Jmva.2009.09.007 |
0.456 |
|
2010 |
Debruyne M, Hubert M, Van Horebeek J. Detecting influential observations in Kernel PCA Computational Statistics and Data Analysis. 54: 3007-3019. DOI: 10.1016/J.Csda.2009.08.018 |
0.433 |
|
2010 |
Gijbels I, Hubert M. Robust and Nonparametric Statistical Methods Comprehensive Chemometrics. 1: 189-211. DOI: 10.1016/B978-044452701-1.00093-4 |
0.438 |
|
2010 |
Hubert M. Robust Calibration Comprehensive Chemometrics. 3: 315-343. DOI: 10.1016/B978-044452701-1.00080-6 |
0.53 |
|
2010 |
Hubert M, van der Veeken S. Robust classification for skewed data Advances in Data Analysis and Classification. 4: 239-254. DOI: 10.1007/S11634-010-0066-3 |
0.493 |
|
2010 |
Verboven S, Hubert M. MATLAB library LIBRA Wiley Interdisciplinary Reviews: Computational Statistics. 2: 509-515. DOI: 10.1002/Wics.96 |
0.786 |
|
2010 |
Hubert M, Debruyne M. Minimum covariance determinant Wiley Interdisciplinary Reviews: Computational Statistics. 2: 36-43. DOI: 10.1002/Wics.61 |
0.506 |
|
2009 |
Debruyne M, Hubert M. The influence function of the Stahel-Donoho covariance estimator of smallest outlyingness Statistics and Probability Letters. 79: 275-282. DOI: 10.1016/J.Spl.2008.08.006 |
0.482 |
|
2009 |
Hubert M, Rousseeuw P, Verdonck T. Robust PCA for skewed data and its outlier map Computational Statistics & Data Analysis. 53: 2264-2274. DOI: 10.1016/J.Csda.2008.05.027 |
0.516 |
|
2008 |
Hubert M, Rousseeuw PJ, Van Aelst S. High-breakdown robust multivariate methods Statistical Science. 23: 92-119. DOI: 10.1214/088342307000000087 |
0.58 |
|
2008 |
Hubert M. Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications by Liu, R., Serfling, R., and Souvaine, D. L. Biometrics. 64: 655-656. DOI: 10.1111/J.1541-0420.2008.01026_6.X |
0.302 |
|
2008 |
Hubert M, Vandervieren E. An adjusted boxplot for skewed distributions Computational Statistics and Data Analysis. 52: 5186-5201. DOI: 10.1016/J.Csda.2007.11.008 |
0.429 |
|
2008 |
Debruyne M, Hubert M, Portnoy S, Vanden Branden K. Censored depth quantiles Computational Statistics and Data Analysis. 52: 1604-1614. DOI: 10.1016/J.Csda.2007.05.004 |
0.531 |
|
2008 |
Brys G, Hubert M, Struyf A. Goodness-of-fit tests based on a robust measure of skewness Computational Statistics. 23: 429-442. DOI: 10.1007/S00180-007-0083-7 |
0.338 |
|
2008 |
Hubert M, Van Der Veeken S. Outlier detection for skewed data Journal of Chemometrics. 22: 235-246. DOI: 10.1002/Cem.1123 |
0.507 |
|
2007 |
Vandewalle B, Beirlant J, Christmann A, Hubert M. A robust estimator for the tail index of Pareto-type distributions Computational Statistics & Data Analysis. 51: 6252-6268. DOI: 10.1016/J.Csda.2007.01.003 |
0.487 |
|
2007 |
Christmann A, Steinwart I, Hubert M. Robust learning from bites for data mining Computational Statistics and Data Analysis. 52: 347-361. DOI: 10.1016/J.Csda.2006.12.009 |
0.513 |
|
2007 |
Hubert M, Engelen S. Fast cross-validation of high-breakdown resampling methods for PCA Computational Statistics and Data Analysis. 51: 5013-5024. DOI: 10.1016/J.Csda.2006.08.031 |
0.567 |
|
2007 |
Engelen S, Møller SF, Hubert M. Automatically identifying scatter in fluorescence data using robust techniques Chemometrics and Intelligent Laboratory Systems. 86: 35-51. DOI: 10.1016/J.Chemolab.2006.08.001 |
0.33 |
|
2006 |
Rousseeuw PJ, Debruyne M, Engelen S, Hubert M. Robustness and outlier detection in chemometrics Critical Reviews in Analytical Chemistry. 36: 221-242. DOI: 10.1080/10408340600969403 |
0.564 |
|
2006 |
Brys G, Hubert M, Struyf A. Robust measures of tail weight Computational Statistics and Data Analysis. 50: 733-759. DOI: 10.1016/J.Csda.2004.09.012 |
0.373 |
|
2006 |
Hubert MH, Wijekoon P. Improvement of the Liu estimator in linear regression model Statistical Papers. 47: 471-479. DOI: 10.1007/s00362-006-0300-4 |
0.321 |
|
2005 |
Hubert M, Rousseeuw PJ, Vanden Branden K. ROBPCA: A new approach to robust principal component analysis Technometrics. 47: 64-79. DOI: 10.1198/004017004000000563 |
0.541 |
|
2005 |
Branden KV, Hubert M. Robust classification in high dimensions based on the SIMCA Method Chemometrics and Intelligent Laboratory Systems. 79: 10-21. DOI: 10.1016/J.Chemolab.2005.03.002 |
0.561 |
|
2005 |
Verboven S, Hubert M. LIBRA: A MATLAB library for robust analysis Chemometrics and Intelligent Laboratory Systems. 75: 127-136. DOI: 10.1016/J.Chemolab.2004.06.003 |
0.784 |
|
2005 |
Engelen S, Hubert M. Fast model selection for robust calibration methods Analytica Chimica Acta. 544: 219-228. DOI: 10.1016/J.Aca.2005.01.015 |
0.541 |
|
2005 |
Brys G, Hubert M, Rousseeuw PJ. A robustification of independent component analysis Journal of Chemometrics. 19: 364-375. DOI: 10.1002/Cem.940 |
0.537 |
|
2004 |
Hubert M, Engelen S. Robust PCA and classification in biosciences. Bioinformatics (Oxford, England). 20: 1728-36. PMID 14988110 DOI: 10.1093/Bioinformatics/Bth158 |
0.502 |
|
2004 |
Brys G, Hubert M, Struyf A. A robust measure of skewness Journal of Computational and Graphical Statistics. 13: 996-1017. DOI: 10.1198/106186004X12632 |
0.415 |
|
2004 |
Hubert M, Rousseeuw PJ, Van Aelst S. Multivariate Outlier Detection and Robustness Handbook of Statistics. 24: 263-302. DOI: 10.1016/S0169-7161(04)24010-X |
0.595 |
|
2004 |
Hubert M, Van Driessen K. Fast and robust discriminant analysis Computational Statistics and Data Analysis. 45: 301-320. DOI: 10.1016/S0167-9473(02)00299-2 |
0.54 |
|
2004 |
Branden KV, Hubert M. Robustness properties of a robust partial least squares regression method Analytica Chimica Acta. 515: 229-241. DOI: 10.1016/J.Aca.2004.01.004 |
0.546 |
|
2003 |
Hubert M, Vanden Branden K. Robust methods for partial least squares regression Journal of Chemometrics. 17: 537-549. DOI: 10.1002/Cem.822 |
0.568 |
|
2003 |
Hubert M, Verboven S. A robust PCR method for high-dimensional regressors Journal of Chemometrics. 17: 438-452. DOI: 10.1002/Cem.783 |
0.787 |
|
2002 |
Hubert M, Rousseeuw PJ, Verboven S. A fast method for robust principal components with applications to chemometrics Chemometrics and Intelligent Laboratory Systems. 60: 101-111. DOI: 10.1016/S0169-7439(01)00188-5 |
0.764 |
|
2002 |
Van Aelst S, Rousseeuw PJ, Hubert M, Struyf A. The deepest regression method Journal of Multivariate Analysis. 81: 138-166. DOI: 10.1006/Jmva.2001.1997 |
0.524 |
|
1999 |
Rousseeuw PJ, Aelst SV, Hubert M. Regression Depth: Rejoinder Journal of the American Statistical Association. 94: 419. DOI: 10.2307/2670163 |
0.339 |
|
1998 |
Hubert M, Rousseeuw PJ. The Catline for Deep Regression Journal of Multivariate Analysis. 66: 270-296. DOI: 10.1006/Jmva.1998.1751 |
0.482 |
|
1997 |
Hubert M, Rousseeuw PJ. Robust regression with both continuous and binary regressors Journal of Statistical Planning and Inference. 57: 153-163. DOI: 10.1016/S0378-3758(96)00041-9 |
0.548 |
|
1997 |
Struyf A, Hubert M, Rousseeuw PJ. Integrating robust clustering techniques in S-PLUS Computational Statistics and Data Analysis. 26: 17-37. DOI: 10.1016/S0167-9473(97)00020-0 |
0.342 |
|
1997 |
Hubert M. The breakdown value of the L1 estimator in contingency tables Statistics & Probability Letters. 33: 419-425. DOI: 10.1016/S0167-7152(96)00156-3 |
0.388 |
|
1996 |
Struyf A, Hubert M, Rousseeuw PJ. Clustering in an object-oriented environment Journal of Statistical Software. 1: 1-30. DOI: 10.18637/Jss.V001.I04 |
0.331 |
|
1996 |
Rousseeuw PJ, Hubert M. Regression-free and robust estimation of scale for bivariate data Computational Statistics and Data Analysis. 21: 67-85. DOI: 10.1016/0167-9473(95)00004-6 |
0.461 |
|
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