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.
Erasmus School of Economics
Dean | Erasmus School of Economics
- groenen@ese.eur.nl
- Room
- EB-06
- Location
- Burg. Oudlaan 50, Rotterdam
Erasmus School of Economics
Full professor | Econometrics
- groenen@ese.eur.nl
- Location
- Burg. Oudlaan 50, Rotterdam
More information
Work
- 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 (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, NY (Nufer) Ates & Patrick Groenen (2022) - A robust bootstrap test for mediation analysis - Organizational Research Methods, 25 (3), 591-617 - doi: 10.1177/1094428121999096 - [link]
- Andreas Alfons, Nüfer Y. Ateş & 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]
- Pieter C. Schoonees, Patrick J.F. Groenen & Michel van de Velden (2021) - Least-squares bilinear clustering of three-way data - Advances in Data Analysis and Classification, 1001-1037 - doi: 10.1007/s11634-021-00475-2 - [link]
- Patrick Groenen, Marco de Haas, Daan van Knippenberg, Kevin Dalmeijer & Lisanne van Bunderen (2015) - ESE Societal Impact Award
CBS
- Start date approval
- October 2020
- End date approval
- October 2023
- Place
- DEN HAAG
- Description
- Lid Methodology Advisory Board
EUR Holding
- Start date approval
- October 2020
- End date approval
- October 2023
- Place
- ROTTERDAM
- Description
- Lid RvC EUR Holding
EUR Holding
- Start date approval
- May 2021
- End date approval
- May 2024
- Place
- ROTTERDAM
- Description
- Lid RvC EUR Holding
FEI BV
- Start date approval
- May 2021
- End date approval
- May 2024
- Place
- ROTTERDAM
- Description
- Lid RvC FEI BV
EURAC
- Start date approval
- October 2021
- End date approval
- October 2024
- Place
- ROTTERDAM
- Description
- Lid RvC
AC2T
- Start date approval
- February 2022
- End date approval
- February 2025
- Place
- WIENER NEUSTADT
- Description
- Lid International Advisory Board
Erasmus Academie
- Start date approval
- July 2022
- End date approval
- July 2025
- Place
- ROTTERDAM
- Description
- President Commissaris
Erasmus Quantitave Intelligence
- Start date approval
- August 2022
- End date approval
- August 2025
- Place
- ROTTERDAM
- Description
- Consultancy
Erasmus Fiscale Studies
- Start date approval
- October 2022
- End date approval
- October 2025
- Place
- ROTTERDAM
- Description
- Lid raad van commissarissen
Supervised Machine Learning
- Level
- Master
- Year Level
- Master
- Year
- 2022
- Course Code
- EBDS20102
Unsupervised Machine Learning
- Level
- Master
- Year Level
- Master
- Year
- 2022
- Course Code
- EBDS20103
Supervised Machine Learning
- Level
- Master
- Year Level
- Master
- Year
- 2022
- Course Code
- EBDS20102-F
f