Biography
Patrick J.F. Groenen is a professor of statistics at the Erasmus School of Economics (ESE). He currently is also dean of that school. Professor Groenen's work focuses on data science techniques and their numerical algorithms. He is the co-author of several textbooks on multidimensional scaling published by Springer and has published articles in the top peer-reviewed journals including, among others, the Journal of Machine Learning Research, the Journal of Marketing Research, Psychological Methods, Psychometrika, the Journal of Classification, Computational Statistics and Data Analysis, the British Journal of Mathematical and Statistical Psychology, and the Journal of Empirical Finance.
More information
Work
- Jules Ellis, Klaas Sijtsma, Kristel de Groot & Patrick J.F. Groenen (2024) - Reliability Theory for Measurements with Variable Test Length, Illustrated with ERN and Pe Collected in the Flanker Task - Psychometrika, 89 (4), 1280-1303 - doi: 10.1007/s11336-024-09982-5
- Michael Greenacre, Patrick J. F. Groenen, Trevor Hastie, Alfonso Iodice D'Enza, Angelos Markos & Elena Tuzhilina (2023) - Principal component analysis: Principal component analysis (Nature Reviews Methods Primers, (2022), 2, 1, (100), 10.1038/s43586-022-00184-w) - Nature Reviews Methods Primers, 3 (1) - doi: 10.1038/s43586-023-00209-y - [link]
- Michael Greenacre, Patrick J.F. Groenen, Trevor Hastie, Alfonso Iodice D’Enza, Angelos Markos & Elena Tuzhilina (2023) - Publisher Correction: Principal component analysis (Nature Reviews Methods Primers, (2022), 2, 1, (100), 10.1038/s43586-022-00184-w) - Nature Reviews Methods Primers, 3 (1) - doi: 10.1038/s43586-023-00209-y - [link]
- Michael Greenacre, Patrick J.F. Groenen, Trevor Hastie, A Iodice D'Enza, Angelos Markos & Elena Tuzhilina (2022) - Principal component analysis - Nature Reviews Methods Primers, 2 (1) - doi: 10.1038/s43586-022-00184-w - [link]
- Maurizio Vichi, Carlo Cavicchia & Patrick Groenen (2022) - Hierarchical Means Clustering - Journal of Classification, 39 (3), 553–577 - doi: 10.1007/s00357-022-09419-7 - [link]
- Ronald De Vlaming, Eric A.W. Slob, Patrick J.F. Groenen & Cornelius A. Rietveld (2022) - Multivariate estimation of factor structures of complex traits using SNP-based genomic relationships - BMC Bioinformatics, 23 (1) - doi: 10.1186/s12859-022-04835-3 - [link]
- Patrick Mair, Patrick Groenen & Jan De Leeuw (2022) - More on multidimensional scaling in {R}: smacof version 2 - Journal of Statistical Software, 102 (10), 1-47 - doi: 10.18637/jss.v102.i10 - [link]
- , , , Aysu Okbay, Yeda Wu, Nancy Wang, Hariharan Jayashankar, Michael Bennett, Seyed Moeen Nehzati, Julia Sidorenko, Hyeokmoon Kweon, Grant Goldman, Tamara Gjorgjieva, Yunxuan Jiang, Barry Hicks, Chao Tian, David A. Hinds, Rafael Ahlskog, Patrik K.E. Magnusson, Sven Oskarsson, Caroline Hayward, Archie Campbell, David J. Porteous, Jeremy Freese, Pamela Herd, Michelle Agee, Babak Alipanahi, Adam Auton, Robert K. Bell, Katarzyna Bryc, Sarah L. Elson, Pierre Fontanillas, Nicholas A. Furlotte, David A. Hinds, Karen E. Huber, Cornelius A. Rietveld, S. Fleur W. Meddens, Ronald de Vlaming, Raymond A. Poot, Alexander Teumer, Niek Verweij, Wei Zhao, Najaf Amin, Jouke-Jan Hottenga, Reinhold Schmidt, Cornelia M. van Duijn, Patrick J.F. Groenen, Danielle Posthuma, Henning Tiemeier, André G. Uitterlinden, Albert Hofman & Jian Yang (2022) - Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals - Nature Genetics, 54 (4), 437-449 - doi: 10.1038/s41588-022-01016-z - [link]
- Nienke Dijkstra, Henning Tiemeier, Bernd Figner & PJF (Patrick) Groenen (2022) - A Censored Mixture Model for Modeling Risk Taking - Psychometrika, 87 (3), 1103-1129 - doi: 10.1007/s11336-021-09839-1 - [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, Patrick Groenen, Mark de Rooij, Carlo Cavicchia, Mikhail Zhelonkin & Max Welz (2021) - Data Science, Statistics & Visualisation and European Conference on Data Analysis (Chair)
Activity: Organising and contributing to an event › Academic - PJF (Patrick) Groenen (2021) - Journal of Data Science, Statistics and Visualisation (Journal) (Reviewer)
Activity: Editorial work › Academic - Patrick Groenen (2014) - Journal of Statistical Software (Journal) (Editor)
Activity: Editorial work › Academic
- Patrick Groenen, Marco de Haas, Daan van Knippenberg, Kevin Dalmeijer & Lisanne van Bunderen (2015) - ESE Societal Impact Award
Erasmus Fiscale Studies
- Start date approval
- October 2022
- End date approval
- October 2025
- Place
- ROTTERDAM
- Description
- Lid raad van commissarissen
CBS
- Start date approval
- October 2023
- End date approval
- October 2026
- Place
- DEN HAAG
- Description
- Lid Methodology Advisory Board
Erasmus Fiscale Studies
- Start date approval
- October 2025
- End date approval
- October 2028
- Place
- ROTTERDAM
- Description
- Lid raad van commissarissen
CBS
- Start date approval
- October 2026
- End date approval
- October 2029
- Place
- DEN HAAG
- Description
- Lid Methodology Advisory Board
Machine Learning I
- Level
- Master
- Year Level
- Master
- Year
- 2024
- Course Code
- TIF20200
Machine Learning I
- Level
- Master
- Year Level
- Master
- Year
- 2024
- Course Code
- TIC10200
Machine Learning II
- Level
- Master
- Year Level
- Master
- Year
- 2024
- Course Code
- TIF20203
Machine Learning II
- Level
- Master
- Year Level
- Master
- Year
- 2024
- Course Code
- TIC10203
Machine Learning 1
- Level
- Master
- Year Level
- Master
- Year
- 2024
- Course Code
- EBDS20102
