Biography
Andreas Alfons is an Associate Professor at Erasmus School of Economics, Erasmus University Rotterdam. His research lies on the intersection of statistics, machine learning, and psychometrics, with an emphasis on data-driven regularization techniques as well as methods that are robust to outliers and deviations from model assumptions. He is an author and maintainer of several software packages for the open-source statistical computing environment R, and a proponent of open and responsible science. Currently, he is leading the NWO Vidi project "Robust Analysis of (Big) Rating-Scale Data in the Social Sciences", and he is involved in the interdisciplinary sectorplan project "The Influence of Digitalization on Work, Prosperity and Entrepreneurship" as a theme lead for the theme "Digital Decision Support". In addition, he is on the editorial team of the Journal of Statistical Software and the Journal of Data Science, Statistics, and Visualisation.
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Work
- Andreas Alfons & Dan Schley (2025) - Robust mediation analysis: What we talk about when we talk about robustness - Wiley Interdisciplinary Reviews: Computational Statistics, 17 (4) - doi: 10.1002/wics.70051 - [link]
- Max Welz, Carlijn van der Aalst, Andreas Alfons, Andrea Naghi, Marjolein A. Heuvelmans, Harry J.M. Groen, Pim A. de Jong, Joachim Aerts, Matthijs Oudkerk, Harry de Koning & Kevin ten Haaf (2025) - A comparative analysis of heterogeneity in lung cancer screening effectiveness in two randomised controlled trials - Nature Communications, 16 (1), 8060 - doi: 10.1038/s41467-025-63471-6
- Andreas Alfons & Aurore Archimbaud (2025) - RMCLab: Lab for Matrix Completion and Imputation of Discrete Rating Data - [link]
- Max Welz, Andreas Alfons & Patrick Mair (2025) - robcat: Robust Categorical Data Analysis - doi: 10.32614/CRAN.package.robcat
- Max Welz, Andreas Alfons & Kevin ten Haaf (2025) - predmod: A Package for Evaluating Heterogenous Treatment Effects through Different Methodologies - [link]
- Pia Pfeiffer, Andreas Alfons & Peter Filzmoser (2025) - Efficient computation of sparse and robust maximum association estimators - Computational Statistics & Data Analysis, 207 - doi: 10.1016/j.csda.2025.108133
- Andreas Alfons (2024) - robmed: (Robust) Mediation Analysis - [link]
- Andreas Alfons & Aurore Archimbaud (2024) - robmedExtra: Extra Functionality for (Robust) Mediation Analysis - [link]
- Andreas Alfons (2024) - ccaPP: (Robust) Canonical Correlation Analysis via Projection Pursuit - [link]
- Andreas Alfons (2024) - robustHD: Robust Methods for High-Dimensional Data - [link]
- Andreas Alfons & Max Welz (2024) - Open Science Perspectives on Machine Learning for the Identification of Careless Responding: A New Hope or Phantom Menace? - Social and Personality Psychology Compass, 18 (2) - doi: 10.1111/spc3.12941 - [link]
- Andreas Alfons, Josef Holzer & Matthias Templ (2024) - laeken: Estimation of Indicators on Social Exclusion and Poverty - [link]
- Matthias Templ, Alexander Kowarik, Bernhard Meindl & Andreas Alfons (2024) - simPop: Simulation of Complex Synthetic Data Information - [link]
- Andreas Alfons, Aurore Archimbaud, Klaus Nordhausen & Anne Ruiz-Gazen (2024) - Tandem clustering with invariant coordinate selection - Econometrics and Statistics - doi: 10.1016/j.ecosta.2024.03.002 - [link]
- Aurore Archimbaud, Andreas Alfons, Klaus Nordhausen & Anne Ruiz-Gazen (2023) - ICSClust: Tandem Clustering with Invariant Coordinate Selection - [link]
- Klaus Nordhausen, Andreas Alfons, Aurore Archimbaud, Hannu Oja, Anne Ruiz-Gazen & David E. Tyler (2023) - ICS: Tools for Exploring Multivariate Data via ICS/ICA - [link]
- Andreas Alfons (2023) - ROBMED: SPSS R extension bundle for robust mediation analysis - doi: 10.25397/eur.19354268.v2 - [link]
- Max Welz & Andreas Alfons (2023) - carelessonset: Estimating the Onset of Careless Responding - [link]
- Matthias Templ, Alexander Kowarik, Andreas Alfons, Gregor de Cillia & Wolfgang Rannetbauer (2022) - VIM: Visualization and Imputation of Missing Values - [link]
- Savannah Boele, Natalie Terzikhan, Maarten Boksem, Wendy van de Sande, Silvan Licher & Andreas Alfons (27 October 2023) - CollectieveKracht takes home Open and Responsible Science award
- Andreas Alfons (7 December 2022) - ERIM Open Science Award 2022 Winner: Andreas Alfons
- Andreas Alfons & Antonio Schettino (18 January 2022) - An example of open software and innovative academic publication in econometrics
- Andreas Alfons (2025) - Max Welz (Host)
Activity: Hosting an academic visitor › Academic - Andreas Alfons (2025) - Clusterpath Gaussian Graphical Modeling (Speaker)
Activity: Invited talk › Academic - Andreas Alfons (2025) - Toulouse School of Economics (Visiting researcher)
Activity: Visiting an external academic institution › Academic - Andreas Alfons (2025) - Sparse clusterpath Gaussian graphical modeling and covariance matrix estimation (Speaker)
Activity: Invited talk › Academic - Andreas Alfons (2025) - Joint Meeting Classification and Data Analysis Group (CLADAG) and Dutch/Flemish Classification Society (VOC) (Member of programme committee)
Activity: Organising and contributing to an event › Academic - Andreas Alfons (2025) - Aurore Archimbaud (Host)
Activity: Hosting an academic visitor › Academic - Andreas Alfons (2025) - Society for the Improvement of Psychological Science Meeting (Participant)
Activity: Attending an event › Academic - Andreas Alfons (2025) - Toulouse Business School (Visiting researcher)
Activity: Visiting an external academic institution › Academic - Andreas Alfons (2025) - Max Welz (Host)
Activity: Hosting an academic visitor › Academic - Andreas Alfons (2025) - University of Zurich (Visiting researcher)
Activity: Visiting an external academic institution › Academic
- Andreas Alfons (2022) - ERIM Open Science Award
- MFO (Max) Welz, A (Andreas) Alfons & K. (Kevin) ten Haaf (2021) - Open Mind Call 2021 Health and Technology
- A (Andreas) Alfons (2018) - NWO Vidi: Robust analysis of (big) rating-scale data in the social sciences
- Andreas Alfons (2017) - ESE Top Talent Researcher Award
Internship Hub
- Year
- 2025
- Course Code
- FEB63017
Thesis Hub Master
- Year
- 2025
- Course Code
- FEM61007H
Topics in Advanced Statistics
- Year
- 2025
- Course Code
- FEM21039
Machine Learning in OR
- Year
- 2025
- Course Code
- FEM21046
