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Semantic ScholarStefan Van Aelst
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2010 – today
- 2019
[j30]Holger Cevallos-Valdiviezo
, Stefan Van Aelst:
Fast computation of robust subspace estimators. Computational Statistics & Data Analysis 134: 171-185 (2019)- [j29]Beatriz Sinova, Stefan Van Aelst:
Empirical analysis of the maximum asymptotic bias of location estimators for fuzzy number-valued data. Int. J. Approx. Reasoning 113: 1-13 (2019) - [j28]Ioannis Kalogridis, Stefan Van Aelst:
Robust functional regression based on principal components. J. Multivariate Analysis 173: 393-415 (2019) - [j27]Yixin Wang, Stefan Van Aelst:
Robust variable screening for regression using factor profiling. Statistical Analysis and Data Mining 12(2): 70-87 (2019) - 2018
- [j26]Beatriz Sinova, Stefan Van Aelst:
Advantages of M-estimators of location for fuzzy numbers based on Tukey's biweight loss function. Int. J. Approx. Reasoning 93: 219-237 (2018) - [j25]Kris Peremans, Stefan Van Aelst:
Robust inference for seemingly unrelated regression models. J. Multivariate Analysis 167: 212-224 (2018) - [c4]Beatriz Sinova, Stefan Van Aelst:
Empirical Comparison of the Performance of Location Estimates of Fuzzy Number-Valued Data. SMPS 2018: 191-199 - 2017
- [j24]Samuel Müller, Graciela Boente, Christophe Croux, Juan Romo, Stefan Van Aelst:
2nd special issue on robust analysis of complex data. Computational Statistics & Data Analysis 113: 395-397 (2017) - 2016
- [j23]Michael W. Berry, Jung Jin Lee, Giovanni Montana, Stefan Van Aelst, Ruben H. Zamar:
Special Issue on Advances in Data Mining and Robust Statistics. Computational Statistics & Data Analysis 93: 388-389 (2016) - [j22]Matias Salibian-Barrera, Stefan Van Aelst, Victor J. Yohai:
Robust tests for linear regression models based on τ-estimates. Computational Statistics & Data Analysis 93: 436-455 (2016) - [j21]Stefan Van Aelst:
Stahel-Donoho estimation for high-dimensional data. Int. J. Comput. Math. 93(4): 628-639 (2016) - [j20]Beatriz Sinova, María Angeles Gil, Stefan Van Aelst:
M-Estimates of Location for the Robust Central Tendency of Fuzzy Data. IEEE Trans. Fuzzy Systems 24(4): 945-956 (2016) - [c3]Beatriz Sinova, Stefan Van Aelst:
Tukey's Biweight Loss Function for Fuzzy Set-Valued M-estimators of Location. SMPS 2016: 447-454 - 2015
- [j19]Holger Cevallos-Valdiviezo, Stefan Van Aelst:
Tree-based prediction on incomplete data using imputation or surrogate decisions. Inf. Sci. 311: 163-181 (2015) - 2014
- [j18]S. Ejaz Ahmed, Gerda Claeskens, Hidetoshi Shimodaira, Stefan Van Aelst:
Special issue on Model Selection and High Dimensional Data Reduction. Computational Statistics & Data Analysis 71: 652-653 (2014) - [j17]Beatriz Sinova, María Angeles Gil, María Teresa López, Stefan Van Aelst:
A parameterized L2 metric between fuzzy numbers and its parameter interpretation. Fuzzy Sets and Systems 245: 101-115 (2014) - [c2]Shirin Shahriari, Susana Faria, A. Manuela Gonçalves, Stefan Van Aelst:
Outlier Detection and Robust Variable Selection for Least Angle Regression. ICCSA (3) 2014: 512-522 - 2013
- [j16]Christophe Croux, Elvezio Ronchetti, Matias Salibian-Barrera, Stefan Van Aelst:
Special issue on robust analysis of complex data. Computational Statistics & Data Analysis 65: 1-3 (2013) - [j15]Stefan Van Aelst, Gert Willems, Ruben H. Zamar:
Robust and efficient estimation of the residual scale in linear regression. J. Multivariate Analysis 116: 278-296 (2013) - 2012
- [j14]Stefan Van Aelst, E. Vandervieren, Gert Willems:
A Stahel-Donoho estimator based on huberized outlyingness. Computational Statistics & Data Analysis 56(3): 531-542 (2012) - [j13]Beatriz Sinova, María Angeles Gil, Ana Colubi, Stefan Van Aelst:
The median of a random fuzzy number. The 1-norm distance approach. Fuzzy Sets and Systems 200: 99-115 (2012) - [c1]Beatriz Sinova, Gil González-Rodríguez, Stefan Van Aelst:
An Alternative Approach to the Median of a Random Interval Using an L 2 Metric. SMPS 2012: 273-281 - 2010
- [j12]Stefan Van Aelst, Gert Willems:
Inference for robust canonical variate analysis. Adv. Data Analysis and Classification 4(2-3): 181-197 (2010) - [j11]Stefan Van Aelst, Roy Welsch, Ruben H. Zamar:
Special issue on variable selection and robust procedures. Computational Statistics & Data Analysis 54(12): 2879-2882 (2010) - [j10]Jafar A. Khan, Stefan Van Aelst, Ruben H. Zamar:
Fast robust estimation of prediction error based on resampling. Computational Statistics & Data Analysis 54(12): 3121-3130 (2010)
2000 – 2009
- 2009
- [j9]Ella Roelant, Stefan Van Aelst, Christophe Croux:
Multivariate generalized S-estimators. J. Multivariate Analysis 100(5): 876-887 (2009) - 2008
- [j8]Matias Salibian-Barrera, Stefan Van Aelst:
Robust model selection using fast and robust bootstrap. Computational Statistics & Data Analysis 52(12): 5121-5135 (2008) - [j7]Matias Salibian-Barrera, Stefan Van Aelst, Gert Willems:
Fast and robust bootstrap. Statistical Methods and Applications 17(1): 41-71 (2008) - 2007
- [j6]Christophe Croux, Efstratios Gallopoulos, Stefan Van Aelst, Hongyuan Zha:
Machine Learning and Robust Data Mining. Computational Statistics & Data Analysis 52(1): 151-154 (2007) - [j5]Jafar A. Khan, Stefan Van Aelst, Ruben H. Zamar:
Building a robust linear model with forward selection and stepwise procedures. Computational Statistics & Data Analysis 52(1): 239-248 (2007) - [j4]Ella Roelant, Stefan Van Aelst:
An L1-type estimator of multivariate location and shape. Statistical Methods and Applications 15(3): 381-393 (2007) - 2006
- [j3]Stefan Van Aelst, Xiaogang Wang, Ruben H. Zamar, Rong Zhu:
Linear grouping using orthogonal regression. Computational Statistics & Data Analysis 50(5): 1287-1312 (2006) - 2005
- [j2]Gert Willems, Stefan Van Aelst:
Fast and robust bootstrap for LTS. Computational Statistics & Data Analysis 48(4): 703-715 (2005) - 2004
- [j1]Peter J. Rousseeuw, Stefan Van Aelst, Katrien van Driessen, Jose A. Gulló:
Robust Multivariate Regression. Technometrics 46(3): 293-305 (2004)
Coauthor Index
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