Stefan Van Aelst

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Inference for robust canonical variate analysis

Stefan Van Aelst, Gert Willems, 2010, Adv. Data Anal. Classif..

Linear grouping using orthogonal regression

Xiaogang Wang, Stefan Van Aelst, Ruben H. Zamar, 2006, Comput. Stat. Data Anal..

Machine Learning and Robust Data Mining

Stefan Van Aelst, Hongyuan Zha, Efstratios Gallopoulos, 2007, Comput. Stat. Data Anal..

Empirical analysis of the maximum asymptotic bias of location estimators for fuzzy number-valued data

Stefan Van Aelst, Beatriz Sinova, 2019, Int. J. Approx. Reason..

Special Issue on Advances in Data Mining and Robust Statistics

Stefan Van Aelst, Ruben H. Zamar, Giovanni Montana, 2016, Comput. Stat. Data Anal..

Robust Principal Component Analysis Based on Pairwise Correlation Estimators

Stefan Van Aelst, Gert Willems, Ellen Vandervieren, 2010, COMPSTAT.

A Robust General Multivariate Chain Ladder Method

Stefan Van Aelst, Tim Verdonck, Kris Peremans, 2018, Risks.

The median of a random fuzzy number. The 1-norm distance approach

Stefan Van Aelst, Ana Colubi, María Angeles Gil, 2012, Fuzzy Sets Syst..

Tree-based prediction on incomplete data using imputation or surrogate decisions

Stefan Van Aelst, Holger Cevallos-Valdiviezo, Holger Cevallos-Valdiviezo, 2015, Inf. Sci..

Positive-Breakdown Robust Methods in Computer Vision

Stefan Van Aelst, Peter J. Rousseeuw, P. Rousseeuw, 1999 .

Multivariate generalized S-estimators

Stefan Van Aelst, Christophe Croux, Ella Roelant, 2009, J. Multivar. Anal..

Fast computation of robust subspace estimators

Stefan Van Aelst, Holger Cevallos-Valdiviezo, Holger Cevallos-Valdiviezo, 2018, Comput. Stat. Data Anal..

Sparse Principal Component Analysis Based on Least Trimmed Squares

Stefan Van Aelst, Yixin Wang, 2020, Technometrics.

A robust linear grouping algorithm

Stefan Van Aelst, Ruben H. Zamar, Greet Pison, 2006 .

Robust Principal Components for High-Dimensional Data

Stefan Van Aelst, Matias Salibian-Barrera, Holger Cevallos Valdiviezo, 2016 .

Special issue on robust analysis of complex data

Stefan Van Aelst, Elvezio Ronchetti, Christophe Croux, 2013, Comput. Stat. Data Anal..

Fast and robust bootstrap for multivariate inference: The R package FRB

Stefan Van Aelst, Gert Willems, G. Willems, 2013 .

Robust Multivariate Regression

Stefan Van Aelst, Katrien van Driessen, Peter Rousseeuw, 2004, Technometrics.

The Deepest Fit

Stefan Van Aelst, Peter J. Rousseeuw, 1998, COMPSTAT.

Robust tests for linear regression models based on τ-estimates

Stefan Van Aelst, Victor J. Yohai, Matías Salibián Barrera, 2016, Comput. Stat. Data Anal..

Tree-based prediction on incomplete data

Stefan Van Aelst, Holger Cevallos, 2014 .

Stahel-Donoho estimation for high-dimensional data

Stefan Van Aelst, 2016, Int. J. Comput. Math..

Theory and applications of recent robust methods

Stefan Van Aelst, Mia Hubert, Anja Struyf, 2004 .

Fast and robust bootstrap

Stefan Van Aelst, Gert Willems, Matías Salibián Barrera, 2008, Stat. Methods Appl..

M-Estimates of Location for the Robust Central Tendency of Fuzzy Data

Stefan Van Aelst, María Angeles Gil, Beatriz Sinova, 2016, IEEE Transactions on Fuzzy Systems.

fMRI pattern recognition: the influence of feature selection on various classifiers

Stefan Van Aelst, Ruth Seurinck, Beatrijs Moerkerke, 2011 .

A Stahel-Donoho estimator based on huberized outlyingness

Stefan Van Aelst, Gert Willems, E. Vandervieren, 2012, Comput. Stat. Data Anal..

Robust and efficient estimation of the residual scale in linear regression

Stefan Van Aelst, Ruben H. Zamar, Gert Willems, 2013, J. Multivar. Anal..

Robust Bayesian seemingly unrelated regression model

Stefan Van Aelst, Dries F. Benoit, Kris Peremans, 2018, Comput. Stat..

Special issue on Model Selection and High Dimensional Data Reduction

Stefan Van Aelst, S. Ejaz Ahmed, Gerda Claeskens, 2014, Comput. Stat. Data Anal..

Empirical Comparison of the Performance of Location Estimates of Fuzzy Number-Valued Data

Stefan Van Aelst, Beatriz Sinova, 2018, SMPS.

Special issue on robust analysis of complex data

Stefan Van Aelst, Juan Romo, Christophe Croux, 2013, Comput. Stat. Data Anal..

Advantages of M-estimators of location for fuzzy numbers based on Tukey's biweight loss function

Stefan Van Aelst, Beatriz Sinova, Beatriz Sinova, 2018, Int. J. Approx. Reason..

Robust variable screening for regression using factor profiling

Stefan Van Aelst, Yixin Wang, Yixin Wang, 2017, Stat. Anal. Data Min..

A parameterized L2 metric between fuzzy numbers and its parameter interpretation

Stefan Van Aelst, María Angeles Gil, María Teresa López, 2014, Fuzzy Sets Syst..

Outlier Detection and Robust Variable Selection for Least Angle Regression

Stefan Van Aelst, Susana Faria, Shirin Shahriari, 2014, ICCSA.

Analyzing Data with Robust Multivariate Methods and Diagnostic Plots

Stefan Van Aelst, Greet Pison, 2002, COMPSTAT.

Fast and robust bootstrap for LTS

Stefan Van Aelst, Gert Willems, 2005, Comput. Stat. Data Anal..

Building a robust linear model with forward selection and stepwise procedures

Stefan Van Aelst, Ruben H. Zamar, Jafar A. Khan, 2007, Comput. Stat. Data Anal..

An L1-type estimator of multivariate location and shape

Stefan Van Aelst, Ella Roelant, 2007, Stat. Methods Appl..

Tukey's Biweight Loss Function for Fuzzy Set-Valued M-estimators of Location

Stefan Van Aelst, Beatriz Sinova, Beatriz Sinova, 2016, SMPS.

Concepts and methods in robust statistics

Stefan Van Aelst, 2011 .

Comments on: Data science, big data and statistics

Stefan Van Aelst, Ruben H. Zamar, S. Van Aelst, 2019, TEST.

Robust functional regression based on principal components

Stefan Van Aelst, Ioannis Kalogridis, Ioannis Kalogridis, 2018, J. Multivar. Anal..

Fast robust variable selection

Stefan Van Aelst, Ruben H. Zamar, Jafar A Khan, 2008 .

A robust approach to summarize the location of functional data

Stefan Van Aelst, Beatriz Sinova, 2016 .

Robust model selection using fast and robust bootstrap

Stefan Van Aelst, Matías Salibián Barrera, M. S. Barrera, 2008, Comput. Stat. Data Anal..

Robust Bootstrap Inference: Recent Developments

Stefan Van Aelst, G. Willems, 2010 .

An Alternative Approach to the Median of a Random Interval Using an L 2 Metric

Stefan Van Aelst, Gil González-Rodríguez, Beatriz Sinova, 2012, SMPS.

Robust inference for seemingly unrelated regression models

Stefan Van Aelst, Kris Peremans, 2018, J. Multivar. Anal..

Special issue on variable selection and robust procedures

Stefan Van Aelst, Ruben H. Zamar, Roy E. Welsch, 2010, Comput. Stat. Data Anal..

Fast robust estimation of prediction error based on resampling

Stefan Van Aelst, Ruben H. Zamar, Jafar A. Khan, 2010, Comput. Stat. Data Anal..

Robust penalized spline estimation with difference penalties

Stefan Van Aelst, Ioannis Kalogridis, Ioannis Kalogridis, 2020, Econometrics and Statistics.

Data-Driven Diverse Logistic Regression Ensembles

Stefan Van Aelst, Ruben Zamar, Anthony-Alexander Christidis, 2021 .

Robust and efficient estimation of nonparametric generalized linear models

Stefan Van Aelst, Gerda Claeskens, Ioannis Kalogridis, 2022 .

Robust Bootstrap for S-estimators of Multivariate Regression

Stefan Van Aelst, G. Willems, 2002 .

Melanoma addiction to the long non-coding RNA SAMMSON

Stefan Van Aelst, Stein Aerts, Jasper Wouters, 2016, Nature.

Robust estimation of Cronbach's alpha

Stefan Van Aelst, Andreas Christmann, A. Christmann, 2006 .

A Fast Bootstrap Method for the MCD Estimator

Stefan Van Aelst, G. Willems, 2004 .

The minimum weighted covariance determinant estimator

Stefan Van Aelst, Gert Willems, Ella Roelant, 2008 .

MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE

Stefan Van Aelst, G. Willems, G. Willems, 2005 .

Robust Principal Components by Least Trimmed Squares for High-Dimensional and Functional Data

Stefan Van Aelst, Matias Salibian-Barrera, Holger Cevallos Valdiviezo, 2016 .

Propagation of outliers in multivariate data

Stefan Van Aelst, Ruben H. Zamar, Victor J. Yohai, 2009, 0903.0447.