| Robust penalized spline estimation with difference penalties I Kalogridis, S Van Aelst Econometrics and Statistics, 2021 | | 2021 |
| M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data B Sinova, S Van Aelst, P Terán Advances in Data Analysis and Classification 15 (2), 267-288, 2021 | 2 | 2021 |
| M-type penalized splines with auxiliary scale estimation I Kalogridis, S Van Aelst Journal of Statistical Planning and Inference 212, 97-113, 2021 | 2 | 2021 |
| Split Modeling for High-Dimensional Logistic Regression AA Christidis, S Van Aelst, R Zamar arXiv preprint arXiv:2102.08591, 2021 | | 2021 |
| Sparse principal component analysis based on least trimmed squares Y Wang, SV Aelst Technometrics 62 (4), 473-485, 2020 | 3 | 2020 |
| Outlier robust modeling of survival curves in the presence of potentially time-varying coefficients JL Biccler, M Bøgsted, S Van Aelst, T Verdonck Statistical methods in medical research 29 (9), 2683-2696, 2020 | | 2020 |
| Robust optimal estimation of location from discretely sampled functional data I Kalogridis, S Van Aelst arXiv preprint arXiv:2008.00782, 2020 | | 2020 |
| Robust optimal estimation of the mean function from discretely sampled functional data I Kalogridis, S Van Aelst | | 2020 |
| Empirical analysis of the maximum asymptotic bias of location estimators for fuzzy number-valued data B Sinova, S Van Aelst International Journal of Approximate Reasoning 113, 1-13, 2019 | 3 | 2019 |
| Package ‘ltsspca’ Y Wang, S Van Aelst, HC Valdiviezo, T Reynkens | | 2019 |
| Robust Bayesian seemingly unrelated regression model C Mbah, K Peremans, S Van Aelst, DF Benoit Computational Statistics 34 (3), 1135-1157, 2019 | 1 | 2019 |
| Robust functional regression based on principal components I Kalogridis, S Van Aelst Journal of Multivariate Analysis 173, 393-415, 2019 | 6 | 2019 |
| M-type penalized splines for functional linear regression I Kalogridis, S Van Aelst arXiv preprint arXiv:1908.08760, 2019 | | 2019 |
| Comments on: Data science, big data and statistics S Van Aelst, RH Zamar Test 28 (2), 360-362, 2019 | | 2019 |
| Fast computation of robust subspace estimators H Cevallos-Valdiviezo, S Van Aelst Computational Statistics & Data Analysis 134, 171-185, 2019 | 3 | 2019 |
| Robust variable screening for regression using factor profiling Y Wang, S Van Aelst Statistical Analysis and Data Mining: The ASA Data Science Journal 12 (2), 70-87, 2019 | 5 | 2019 |
| Empirical comparison of the performance of location estimates of fuzzy number-valued data B Sinova Fernández, S Van Aelst Uncertainty Modelling in Data Science, 2019 | | 2019 |
| Stepwise regression ensembling S Van Aelst, A Christidis, R Zamar 2nd workshop on Multivariate Data and Software (MDA 2019), Location …, 2019 | | 2019 |
| Robust estimation for functional and partially functional linear models S Van Aelst, I Kalogridis International Conference on Robust Statistics 2019 (ICORS2019), Location …, 2019 | | 2019 |
| Ensemble of regularized linear models S Van Aelst, A Christidis, R Zamar 12th International Conference of the ERCIM WG on Computational and …, 2019 | | 2019 |
Peter RousseeuwKU Leuven, BelgiumDirección de correo verificada de rousseeuw.net
