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 Opens external - Psychometrika, 89 (4), 1280-1303 - doi: 10.1007/s11336-024-09982-5Opens external
- 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) Opens external - Nature Reviews Methods Primers, 3 (1) - doi: 10.1038/s43586-023-00209-yOpens external - [link]Opens external
- 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) Opens external - Nature Reviews Methods Primers, 3 (1) - doi: 10.1038/s43586-023-00209-yOpens external - [link]Opens external
- Michael Greenacre, Patrick J.F. Groenen, Trevor Hastie, A Iodice D'Enza, Angelos Markos & Elena Tuzhilina (2022) - Principal component analysis Opens external - Nature Reviews Methods Primers, 2 (1) - doi: 10.1038/s43586-022-00184-wOpens external - [link]Opens external
- Maurizio Vichi, Carlo Cavicchia & Patrick Groenen (2022) - Hierarchical Means Clustering Opens external - Journal of Classification, 39 (3), 553–577 - doi: 10.1007/s00357-022-09419-7Opens external - [link]Opens external
- 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 Opens external - BMC Bioinformatics, 23 (1) - doi: 10.1186/s12859-022-04835-3Opens external - [link]Opens external
- Patrick Mair, Patrick Groenen & Jan De Leeuw (2022) - More on multidimensional scaling in {R}: smacof version 2 Opens external - Journal of Statistical Software, 102 (10), 1-47 - doi: 10.18637/jss.v102.i10Opens external - [link]Opens external
- , , , 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 Opens external - Nature Genetics, 54 (4), 437-449 - doi: 10.1038/s41588-022-01016-zOpens external - [link]Opens external
- Nienke Dijkstra, Henning Tiemeier, Bernd Figner & PJF (Patrick) Groenen (2022) - A Censored Mixture Model for Modeling Risk Taking Opens external - Psychometrika, 87 (3), 1103-1129 - doi: 10.1007/s11336-021-09839-1Opens external - [link]Opens external
- Andreas Alfons, Nufer Y. Ates & Patrick J.F. Groenen (2022) - A robust bootstrap test for mediation analysis Opens external - Organizational Research Methods, 25 (3), 591-617 - doi: 10.1177/1094428121999096Opens external - [link]Opens external
- Patrick J.F. Groenen (26 August 2020) - -Erasmus University Rotterdam: Esmee Tanis wins Student Societal Impact Award 2020
- 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 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
CBS
- Start date approval
- October 2023
- End date approval
- October 2026
- Place
- DEN HAAG
- Description
- Lid Methodology Advisory Board
Machine Learning IOpens external
- Level
- Master
- Year Level
- Master
- Year
- 2024
- Course Code
- TIF20200
Machine Learning IOpens external
- Level
- Master
- Year Level
- Master
- Year
- 2024
- Course Code
- TIC10200
Machine Learning IIOpens external
- Level
- Master
- Year Level
- Master
- Year
- 2024
- Course Code
- TIF20203
Machine Learning IIOpens external
- Level
- Master
- Year Level
- Master
- Year
- 2024
- Course Code
- TIC10203
Machine Learning 1Opens external
- Level
- Master
- Year Level
- Master
- Year
- 2024
- Course Code
- EBDS20102
