Journal papers

• Sinova, B., Gil, M.A., Colubi, A., and Van Aelst, S. (2011), "The median of a random fuzzy number. The 1-norm distance approach," Fuzzy Sets and Systems, to appear.

• Lievens, A., Van Aelst, S., Van den Bulcke, M., and Goetghebeur, E. (2012), "Enhanced analysis of real-time PCR data by using a variable efficiency model: FPK-PCR," Nucleic Acids Research, 40(2): e10.

• Van Aelst, S., Vandervieren, E., and Willems, G. (2012), "A Stahel–Donoho estimator based on huberized outlyingness," Computational Statistics and Data Analysis, 56 (3), 531-542. Technical report

• Van Aelst, S., and Willems, G. (2011), "Robust and Efficient One-way MANOVA Tests," Journal of the American Statistical Association, 106 (494), 706-718.
  Technical report
  MATLAB programs

• Van Aelst, S., Vandervieren, E., and Willems, G. (2011), "Stahel-Donoho Estimators with Cellwise Weights," Journal of Statistical Computation and Simulation, 81 (1), 1-27. Technical report

• Van Aelst, S., and Willems, G. (2010), "Inference for Robust Canonical Variate Analysis," Advances in Data Analysis and Classification, 4 (2-3),181-197. Technical report

• Khan, J.A., Van Aelst, S., and Zamar, R.H. (2010), "Fast Robust Estimation of Prediction Error Based on Resampling," Computational Statistics and Data Analysis, 54 (12), 3121-3130. Technical report

• Van Aelst, S., Welsch, R. and Zamar, R.H. (2010), "Editorial-special issue on variable selection and robust procedures," Computational Statistics and Data Analysis, 54 (12), 2879-2882.

• Aerts, J.M.J., Martinez-Madrid B., Leroy, J.L.M.R., Van Aelst, S., and Bols, P.E.J. (2009),"Xenotransplantation by injection of a suspension of isolated preantral ovarian follicles and stroma cells under the kidney capsule of nude mice," Fertility and Sterility, 94 (2), 708-714.

• Van Aelst, S., and Rousseeuw, P.J. (2009), "Minimum Volume Ellipsoid," Wiley Interdisciplinary Reviews: Computational Statistics, 1, 71-82.

• Roelant, E., Van Aelst, S., and Willems, G. (2009), "The Minimum Weighted Covariance Determinant Estimator," Metrika, 70 (2), 177-204. Technical report

• Roelant, E., Van Aelst, S., and Croux, C. (2009), "Multivariate Generalized S-estimators," Journal of Multivariate Analysis, 100 (5), 876-887. Technical report

• Alqallaf, F., Van Aelst, S., Yohai, V.J. and Zamar, R.H. (2009), "Propagation of Outliers in Multivariate Data," Annals of Statistics, 37 (1), 311-331. Technical report

• García-Escudero, L.A., Gordaliza, A., San Martín, R., Van Aelst, S., and Zamar, R.H. (2009), "Robust Linear Clustering," Journal of the Royal Statistical Society B, 71 (1), 301-319. Technical report

• Aerts, J.M.J., De Clercq, J.B.P., Andries, S., Leroy, J.L.M.R., Van Aelst, S., and Bols, P.E.J. (2008),"Follicle Survival and Growth to Antral Stages in Short-Term Murine Ovarian Cortical Transplants after Cryologic Solid Surface Vitrification or Slow-Rate Freezing," Cryobiology, 57, 163–169

• Salibian-Barrera, M., and Van Aelst, S. (2008), "Robust Model Selection Using Fast and Robust Bootstrap, " Computational Statistics and Data Analysis, 52, 5121-5135. Technical report

• Hubert, M., Rousseeuw, P.J., and Van Aelst, S. (2008), "High-Breakdown Robust Multivariate Methods," Statistical Science, 23, 92–119. Technical report

• Aerts, J.M.J., Martinez-Madrid, B., Flothmann, K., De Clercq, J. B.P., Van Aelst, S., and Bols, P.E.J. (2008), "Quantification and Viability Assessment of Isolated Bovine Primordial and Primary Ovarian Follicles Retrieved Through a Standardized Biopsy Pick-Up Procedure," Reproduction in Domestic Animals, 43, 360-366.

• Agulló, J., Croux, C., and Van Aelst, S. (2008), "The Multivariate Least Trimmed Squares Estimator," Journal of Multivariate Analysis, 99, 311-338. Technical report
  R and MATLAB programs

• Salibian-Barrera, M., Van Aelst, S., and Willems, G. (2008), "Fast and Robust Bootstrap," Statistical Methods and Applications, 17, 41-71. Technical report

• Khan, J.A., Van Aelst, S., and Zamar, R.H. (2007), "Robust Linear Model Selection Based on Least Angle Regression, " Journal of the American Statistical Association, 102, 1289-1299.
  Technical report
  R program and datasets

• Croux, C., Gallopoulos, E., Van Aelst, S., and Zha, H. (2007), "Editorial-special issue on Machine Learning and Robust Data Mining, " Computational Statistics and Data Analysis, 52, 151-154.

• Khan, J.A., Van Aelst, S., and Zamar, R.H. (2007), "Building a Robust Linear Model with Forward Selection and Stepwise Procedures," Computational Statistics and Data Analysis, 52, 239-248. Technical report

• Rousseeuw, P.J., and Van Aelst, S. (2007), "A Survey of Robust Statistics - Comment," Statistical Methods and Applications, 15, 290-292.

• Roelant, E., and Van Aelst, S. (2007), "An L1-Type Estimator of Multivariate Location and Shape," Statistical Methods and Applications, 15, 381-393. Technical report

• Salibian-Barrera, M., Van Aelst, S., and Willems, G. (2006), "PCA based on Multivariate MM-estimators with Fast and Robust Bootstrap," Journal of the American Statistical Association, 101, 1198 - 1211.
  Technical report
  R and MATLAB programs

• Christmann, A., and Van Aelst, S. (2006), "Robust Estimation of Cronbach's Alpha," Journal of Multivariate Analysis, 97, 1660-1674. Technical report
  dataset

• Van Aelst, S., Wang, X., Zamar, R.H., Zhu, R. (2006), "Linear Grouping Using Orthogonal regression," Computational Statistics and Data Analysis, 50, 1287-1312. Technical report

• Van Aelst, S., and Willems, G. (2005), "Multivariate Regression S-Estimators for Robust Estimation and Inference," Statistica Sinica, 15, 981-1001. Technical report

• Willems, G., and Van Aelst, S. (2005), "Fast and Robust Bootstrap for LTS," Computational Statistics and Data Analysis, 48(4), 703-715. Technical report

• Rousseeuw, P.J., Van Aelst, S., Van Driessen, K., and Agulló, J. (2004), "Robust Multivariate Regression," Technometrics, 46, 293-305. Technical report

• Pison, G., and Van Aelst, S. (2004), "Diagnostic Plots for Robust Multivariate Methods," Journal of Computational and Graphical Statistics, 13, 310-329. Technical report

• De Groot, V., Hubert, M., Van Best, J.A., Engelen, S., Van Aelst, S., and Tassignon, M.J. (2003), "Lack of Fluorophotometric Evidence of Aqueous-Vitreous Barrier Disruption after Posterior Capsulorhexis," Journal of Cataract and Refractive Surgery 29, 2330-2338.

• Croux, C., Van Aelst, S., and Dehon, C. (2003), "Bounded Influence Regression Using High Breakdown Scatter Matrices," Annals of the Institute of Statistical Mathematics, 55, 265-285. Technical report

• Rambali, B., Van Aelst, S., Baert, L., and Massart, D.L. (2003), "Using Deepest Regression Method For Optimization of Fluidized Bed Granulation on Semi-Full Scale," International Journal of Pharmaceutics, 258, 85-94.

• Croux, C., and Van Aelst, S. (2002), "Nearest-Neighbor Variance Estimation (NNVE): Robust Covariance Estimation Via Nearest-Neighbor Cleaning - Comment," Journal of the American Statistical Association, 97, 1006-1009.

• Willems, G., Pison, G., Rousseeuw, P.J., and Van Aelst, S. (2002), "A Robust Hotelling Test," Metrika, 55, 125-138. Technical report

• Pison, G., Van Aelst, S., and Willems, G. (2002), "Small Sample Corrections for LTS and MCD," Metrika, 55, 111-123. Technical report

• Van Aelst, S., Rousseeuw, P.J., Hubert, M., and Struyf, A. (2002), "The Deepest Regression Method," Journal of Multivariate Analysis, 81, 138-166. Technical report

• Hubert, M., Rousseeuw, P.J., and Van Aelst, S. (2002), "Inconsistency of Resampling Algorithms For High-Breakdown Regression Estimators and a New Algorithm - Comment," Journal of the American Statistical Association, 97, 151-153.

• Rousseeuw, P.J., Van Aelst, S., Rambali, B., and Smeyers-Verbeke, J. (2001), "Deepest Regression in Analytical Chemistry," Analytica Chimica Acta, 446, 245-256. Technical report

• Croux, C., Dehon, C., Rousseeuw, P.J., and Van Aelst, S. (2001), "Robust Estimation of the Conditional Median Function at Elliptical Models," Statistics & Probability Letters, 51, 361-368. Technical report

• Van Aelst, S., and Rousseeuw, P.J. (2000)), "Robustness of Deepest Regression," Journal of Multivariate Analysis, 73, 82-106. Technical report

• Rousseeuw, P.J., Van Aelst, S., and Hubert, M. (1999), "Regression Depth - Rejoinder," Journal of the American Statistical Association, 94, 419-433.

In books

• Hubert, M., Rousseeuw, P.J., Van Aelst, S. (2005), "Multivariate Outlier Detection and Robustness," Handbook of Statistics, Volume 23: Data Mining and Computation in Statistics (C.R. Rao, E.J. Wegman, J.L. Solka, Eds.), Elsevier, North-Holland, 263-302.

• Hubert, M, Rousseeuw, P.J., and Van Aelst, S. (2004), "Robustness," Encyclopedia of Actuarial Sciences (J. Teugels, and B. Sundt, Eds.), Wiley, New York, 1515-1529.

• Willems, G., Pison, G., Rousseeuw, P.J., and Van Aelst, S. (2003), "A Robust Hotelling Test," Developments in Robust Statistics (R. Dutter, P. Filzmoser, U. Gather, and P.J. Rousseeuw, Eds.), Physica-Verlag: Heidelberg, 417-431.

• Pison, G., Van Aelst, S., and Willems, G. (2003), "Small Sample Corrections for LTS and MCD," Developments in Robust Statistics (R. Dutter, P. Filzmoser, U. Gather, and P.J. Rousseeuw, Eds.), Physica-Verlag: Heidelberg, 330-343.

• Van Aelst, S. and Willems, G. (2002) "Robust Bootstrap for S-Estimators of Multivariate regression," Statistical Data Analysis Based on the L1 Norm and Related Methods (Y. Dodge, Ed.), Basel: Birkhauser, 201-212.

• Hubert, M., Rousseeuw, P.J., and Van Aelst, S. (1999), "Similarities between location depth and regression depth," Statistics in Genetics and in the Envionmental Sciences, (L.T. Fernholz, S. Morgenthaler, and W.Stahel, Eds.), Birkhauser Verlag AG, Basel, p 153-162.

• Van Aelst, S., and Rousseeuw, P.J. (1999), "M-Estimator," Encyclopedia of Mathematics, Supplement II, (M. Hazewinkel, Ed.), Kluwer Academic Publishers, Dordrecht, 328-329.

In proceedings

• Van Aelst, S., Vandervieren, E., and Willems, G. (2010), "Robust Principal Component Analysis Based on Pairwise Correlation Estimators," COMPSTAT 2010: Proceedings in Computational Statistics (Y. Lechevallier and G. Saporta, Eds.) Heidelberg: Physika-Verlag, 1677-1684.

• Van Aelst, S., and Willems, G. (2010), "Selecting Variables in Two-Group Robust Linear Discriminant Analysis," COMPSTAT 2010: Proceedings in Computational Statistics (Y. Lechevallier and G. Saporta, Eds.) Heidelberg: Physika-Verlag, 573-580.

• Van Aelst, S., Khan, J.A., and Zamar, R.H. (2008), "Fast Robust Variable Selection," COMPSTAT 2008: Proceedings in Computational Statistics (P. Brito, Ed.) Heidelberg: Physika-Verlag, 359-370.

• Roelant, E., Van Aelst, S., and Willems, G. (2008), "Fast Bootstrap for Robust Hotelling Tests," COMPSTAT 2008: Proceedings in Computational Statistics (P. Brito, Ed.) Heidelberg: Physika-Verlag, 709-719.
  R programs

• Pison, G., Van Aelst, S., and Zamar, R.H. (2006), "A robust linear grouping algorithm ," COMPSTAT 2006: Proceedings in Computational Statistics (A. Rizzi and M. Vichi, Eds.), Heidelberg: Physika-Verlag, 43-53.

• Willems, G., and Van Aelst, S. (2004), "A Fast Bootstrap Method for the MCD Estimator," COMPSTAT 2004: Proceedings in Computational Statistics, (J. Antoch, Ed.) Heidelberg: Physika-Verlag, 1979-1986.

• Roelant, E., Van Aelst, S., and Willems, G. (2004), "The Multivariate Least Weighted Squared Distances Estimator," COMPSTAT 2004: Proceedings in Computational Statistics, (J. Antoch, Ed.) Heidelberg: Physika-Verlag, 1693-1700.

• Willems, G., Pison, G., Rousseeuw, P.J., and Van Aelst, S. (2002), "A Hotelling Test based on MCD," COMPSTAT 2002: Proceedings in Computational Statistics, (Wolfgang Hardle and Bernd Ronz, Eds.), Heidelberg: Physika-Verlag, 117-122.

• Pison G. and Van Aelst, S. (2002), "Analyzing Robust Multivariate Methods with a Diagnostic Plot," COMPSTAT 2002: Proceedings in Computational Statistics (W. Hardle and B. Ronz, Eds.), Heidelberg: Physika-Verlag, 165-170.

• Willems, G., Pison, G., Rousseeuw, P.J., and Van Aelst, S. (2002), "A Hotelling Test based on MCD," COMPSTAT 2002: Proceedings in Computational Statistics (W. Hardle and B. Ronz, Eds.), Heidelberg: Physika-Verlag, 117-122.

• Hubert, M., Van Aelst, S., and Rousseeuw, P.J. (2000), "Applications of Deepest Regression," Computing Science and Statistics, 32, 439-446.

• Rousseeuw, P.J., and Van Aelst, S. (2000), "An Algorithm for Deepest Multiple Regression," COMPSTAT 2000: Proceedings in Computational Statistics (J.G. Bethlehem and P.G.M. van der Heijden, Eds.) Physica-Verlag, Heidelberg, 139-150.

• Van Aelst, S., Van Driessen, K., and Rousseeuw, P.J. (2000), "A Robust Method for Multivariate Regression," Data Analysis, Classification, and Related Methods (H.A.L. Kiers, J.-P. Rasson, P.J.F. Groenen, and M. Schader, Eds.), Springer, Berlin, 309-315.

• Rousseeuw, P.J., and Van Aelst, S. (1999), "Positive-Breakdown Robust Methods in Computer Vision," Computing Science and Statistics, 31, 451-460.

• Rousseeuw, P.J., and Van Aelst, S. (1998), "The Deepest Fit," COMPSTAT 1998: Proceedings in Computational Statistics (R. Payne and P. Green, Eds.) Physica-Verlag, Heidelberg, 437-442.