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.
More information
Work
- 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]
- Matthias Templ, Alexander Kowarik, Andreas Alfons, Gregor de Cillia & Wolfgang Rannetbauer (2022) - VIM: Visualization and Imputation of Missing Values - [link]
- Max Welz, Andreas Alfons, Mert Demirer & Victor Chernozhukov (2022) - GenericML: Generic Machine Learning Inference - [link]
- Andreas Alfons, Nufer Y. Ates & Patrick J.F. Groenen (2022) - A robust bootstrap test for mediation analysis - Organizational Research Methods, 25 (3), 591-617 - doi: 10.1177/1094428121999096 - [link]
- Andreas Alfons, Nufer Y. Ates & Patrick J.F. Groenen (2022) - Robust Mediation Analysis: The R Package robmed - Journal of Statistical Software, 103 (13), 1-45 - doi: 10.18637/jss.v103.i13 - [link]
- Andreas Alfons (2021) - perryExamples: Examples for Integrating Prediction Error Estimation into Regression Models - [link]
- Andreas Alfons (2021) - perry: Resampling-Based Prediction Error Estimation for Regression Models - [link]
- Andreas Alfons (2021) - robustHD: An R package for robust regression with high-dimensional data - Journal of Open Source Software, 6 (67) - doi: 10.21105/joss.03786
- Savannah Boele, Natalie Terzikhan, Maarten Boksem, Wendy van de Sande, Silvan Licher & Andreas Alfons (27 oktober 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 januari 2022) - An example of open software and innovative academic publication in econometrics
- Andreas Alfons (2025) - Joint Meeting Classification and Data Analysis Group (CLADAG) and Dutch/Flemish Classification Society (VOC) (Member of programme committee)
Activiteit: Organising and contributing to an event › Academic - Andreas Alfons (2024) - International Conference on Statistics and Data Science (Participant)
Activiteit: Organising and contributing to an event › Academic - Andreas Alfons (2024) - Robust matrix completion for rating-scale data (Speaker)
Activiteit: Oral presentation › Academic - Andreas Alfons (2024) - Robust correlation estimation with discrete rating-scale data (Speaker)
Activiteit: Invited talk › Academic - Andreas Alfons (2024) - Dutch/Flemish Classification Society (VOC) Jubilee Conference (Participant)
Activiteit: Organising and contributing to an event › Academic - Andreas Alfons (2024) - Clusterpath Gaussian graphical modeling and covariance matrix estimation (Speaker)
Activiteit: Invited talk › Academic - Andreas Alfons (2024) - University of Zurich (Visiting researcher)
Activiteit: Visiting an external academic institution › Academic - Andreas Alfons (2024) - Aurore Archimbaud (Host)
Activiteit: Hosting an academic visitor › Academic - Andreas Alfons (2024) - International Conference on Robust Statistics and Data Science, Statistics & Visualisation (Member of programme committee)
Activiteit: Organising and contributing to an event › Academic - Andreas Alfons (2024) - A machine learning approach for identifying the onset of careless responding in (online) surveys (Speaker)
Activiteit: Invited talk › 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
Machine Learning
- Year
- 2024
- Course Code
- FEM31002
Internship Hub
- Year
- 2024
- Course Code
- FEB63017
Machine Learning in Econometrics
- Year
- 2024
- Course Code
- FEM21045
Thesis Hub Master Economics & Business
- Year
- 2024
- Course Code
- FEM61007H
