< Back to previous page
Researcher
Stefan Van Aelst
- Disciplines (KU Leuven):Statistics
- See also: Stefan Van Aelst (University of Antwerp)
Affiliations
- Leuven Statistics Research Centre (LStat) (Research institute)
Responsible
From1 Aug 2023 → Today - Statistics and Data Science (Division)
Responsible
From1 Jul 2019 → Today - Statistics and Data Science (Division)
Member
From1 Jul 2019 → Today - Statistics and data analysis (Research group)
Member
From1 Apr 2006 → 30 Jun 2007 - Statistics and Risk (Division)
Member
From1 Feb 2006 → 30 Jun 2019
Projects
1 - 8 of 8
- Statistical methodology for fraud detectionFrom8 Feb 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- PHD POSITION IN DATA ANALYTICS AND STATISTICAL MODELINGFrom18 Feb 2022 → TodayFunding: BOF - doctoral mandates
- Data Analytics and Statistical ModellingFrom4 Feb 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Analysis of discretely sampled functional data based on robust estimation of dispersion.From1 Oct 2021 → TodayFunding: FWO junior postdoctoral fellowship
- Robust and sparse statistical methods for actuarial sciencesFrom3 Oct 2018 → 21 Sep 2022Funding: Own budget, for example: patrimony, inscription fees, gifts
- Robust nonparametric methods for functional dataFrom1 Oct 2016 → 21 Sep 2020Funding: Own budget, for example: patrimony, inscription fees, gifts
- Statistical Methodology for Immense Lively Experiments (SMILE)From1 Oct 2015 → 30 Sep 2021Funding: BOF - Concerted Research Project from 1994
- Robust inference techniques based on resamplingFrom15 Sep 2014 → 1 Oct 2018Funding: BOF - Doctoral projects
Publications
11 - 20 of 50
- Outlier robust modeling of survival curves in the presence of potentially time-varying coefficients(2020)
Authors: Stefan Van Aelst, Tim Verdonck
Pages: 2683 - 2696 - Sparse Principal Component Analysis Based on Least Trimmed Squares(2020)
Authors: Yixin Wang, Stefan Van Aelst
Pages: 473 - 485 - Robust and sparse statistical models for high-dimensional data(2019)
Authors: Yixin Wang, Stefan Van Aelst, Peter Rousseeuw
- Empirical analysis of the maximum asymptotic bias of location estimators for fuzzy number-valued data(2019)
Authors: Stefan Van Aelst
Pages: 1 - 13 - Robust Bayesian seemingly unrelated regression model(2019)
Authors: Kris Peremans, Stefan Van Aelst
Pages: 1135 - 1157 - Robust functional regression based on principal components(2019)
Authors: Ioannis Kalogridis, Stefan Van Aelst
Pages: 393 - 415 - Comments on: Data science, big data and statistics(2019)
Authors: Stefan Van Aelst
Pages: 360 - 362 - Fast computation of robust subspace estimators(2019)
Authors: Stefan Van Aelst
Pages: 171 - 185 - Robust variable screening for regression using factor profiling(2019)
Authors: Yixin Wang, Stefan Van Aelst
Pages: 70 - 87 - Empirical comparison of the performance of location estimates of fuzzy number-valued data(2019)
Authors: Stefan Van Aelst
Pages: 191 - 199