Assistant professor Rotterdam School of Management, Erasmus University Department of Marketing Management
- Location
- Burg. Oudlaan 50, Rotterdam
- Room
- T10-13
- schoonees@rsm.nl
More information
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Profile
Pieter Schoonees is an assistant professor in the Department of Marketing Management at RSM, Erasmus University. His expertise lie in the fields of computational statistics, machine learning and psychometrics. Pieter's research focuses on developing statistical and machine learning algorithms and applying these to secondary data. A special interest is the use of such techniques for the analysis of data gathered from neuroscienfic studies.
- 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 - doi: 10.1007/s11634-021-00475-2
- Hester van Herk, Pieter Schoonees, Patrick Groenen & Joost Rosmalen (2018) - Competing for the same value segments? Insight into the volatile Dutch political landscape - PLoS One (online), 13 (1) - doi: 10.1371/journal.pone.0190598
- Pieter Schoonees, Niel Roux & RLJ Coetzer (2016) - Flexible Graphical Assessment of Experimental Designs in R: The vdg Package - Journal of Statistical Software, 74 (3), 1-22 - doi: 10.18637/jss.v074.i03
- Pieter Schoonees, Michel Velden & Patrick Groenen (2015) - Constrained Dual Scaling for Detecting Response Styles in Categorical Data - Psychometrika, 80 (4), 968-994 - doi: 10.1007/s11336-015-9458-9
- Pieter Schoonees (2015) - Methods for Modelling Response Styles - Erasmus University Rotterdam
- Pieter Schoonees, Patrick Groenen & Michel Velden (2015) - Least-squares Bilinear Clustering of Three-way Data - Econometric Institute, Erasmus University
- H (Hester) van Herk, Pieter Schoonees, Patrick Groenen & JM (Joost) van Rosmalen (2015) - Competing for the Same Value Segments: Explaining the Volatile Dutch Political Landscape - ERIM Report Series Research in Management
- Pieter Schoonees (2015) - lsbclust: Least-Squares Bilinear Clustering for Three-Way Data - The Comprehensive R Archive Network
- Pieter Schoonees (2015) - cds: Constrained Dual Scaling for Detecting Response Styles - The Comprehensive R Archive Network
- Pieter Schoonees (2014) - vdg: Variance Dispersion Graphs and Fraction of Design Space Plots - The Comprehensive R Archive Network
- 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 - doi: 10.1007/s11634-021-00475-2
- Hester van Herk, Pieter Schoonees, Patrick Groenen & Joost Rosmalen (2018) - Competing for the same value segments? Insight into the volatile Dutch political landscape - PLoS One (online), 13 (1) - doi: 10.1371/journal.pone.0190598
- Pieter Schoonees, Niel Roux & RLJ Coetzer (2016) - Flexible Graphical Assessment of Experimental Designs in R: The vdg Package - Journal of Statistical Software, 74 (3), 1-22 - doi: 10.18637/jss.v074.i03
- Pieter Schoonees, Michel Velden & Patrick Groenen (2015) - Constrained Dual Scaling for Detecting Response Styles in Categorical Data - Psychometrika, 80 (4), 968-994 - doi: 10.1007/s11336-015-9458-9
- 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 - doi: 10.1007/s11634-021-00475-2
- Hester van Herk, Pieter Schoonees, Patrick Groenen & Joost Rosmalen (2018) - Competing for the same value segments? Insight into the volatile Dutch political landscape - PLoS One (online), 13 (1) - doi: 10.1371/journal.pone.0190598
- Pieter Schoonees, Niel Roux & RLJ Coetzer (2016) - Flexible Graphical Assessment of Experimental Designs in R: The vdg Package - Journal of Statistical Software, 74 (3), 1-22 - doi: 10.18637/jss.v074.i03
- Pieter Schoonees, Michel Velden & Patrick Groenen (2015) - Constrained Dual Scaling for Detecting Response Styles in Categorical Data - Psychometrika, 80 (4), 968-994 - doi: 10.1007/s11336-015-9458-9
- Pieter Schoonees (2015) - Methods for Modelling Response Styles - Erasmus University Rotterdam
- Pieter Schoonees (2015) - Methods for Modelling Response Styles - Erasmus University Rotterdam
- Pieter Schoonees, Patrick Groenen & Michel Velden (2015) - Least-squares Bilinear Clustering of Three-way Data - Econometric Institute, Erasmus University
- H (Hester) van Herk, Pieter Schoonees, Patrick Groenen & JM (Joost) van Rosmalen (2015) - Competing for the Same Value Segments: Explaining the Volatile Dutch Political Landscape - ERIM Report Series Research in Management
- Pieter Schoonees, Patrick Groenen & Michel Velden (2015) - Least-squares Bilinear Clustering of Three-way Data - Econometric Institute, Erasmus University
- H (Hester) van Herk, Pieter Schoonees, Patrick Groenen & JM (Joost) van Rosmalen (2015) - Competing for the Same Value Segments: Explaining the Volatile Dutch Political Landscape - ERIM Report Series Research in Management
- Pieter Schoonees (2015) - lsbclust: Least-Squares Bilinear Clustering for Three-Way Data - The Comprehensive R Archive Network
- Pieter Schoonees (2015) - cds: Constrained Dual Scaling for Detecting Response Styles - The Comprehensive R Archive Network
- Pieter Schoonees (2014) - vdg: Variance Dispersion Graphs and Fraction of Design Space Plots - The Comprehensive R Archive Network
- Pieter Schoonees (2015) - lsbclust: Least-Squares Bilinear Clustering for Three-Way Data - The Comprehensive R Archive Network
- Pieter Schoonees (2015) - cds: Constrained Dual Scaling for Detecting Response Styles - The Comprehensive R Archive Network
- Pieter Schoonees (2014) - vdg: Variance Dispersion Graphs and Fraction of Design Space Plots - The Comprehensive R Archive Network
University of Cape Town
- Start date approval
- December 2019
- End date approval
- December 9999
- Place
- SOUTH AFRICA
- Description
- External Examiner
University of Cape Town
- Start date approval
- December 2019
- End date approval
- December 9999
- Place
- SOUTH AFRICA
- Description
- External Examiner
Supervised Machine Learning
- Level
- Master
- Year
- 2021
- Year Level
- Master
- Course Code
- EBDS20102
Unsupervised Machine Learning
- Level
- Master
- Year
- 2021
- Year Level
- Master
- Course Code
- EBDS20103
Unsupervised Machine Learning
- Level
- Master
- Year
- 2021
- Year Level
- Master
- Course Code
- EBDS20103-F
Supervised Machine Learning
- Level
- Master
- Year
- 2021
- Year Level
- Master
- Course Code
- EBDS20102-F
Big Data Analytics for Marketing Insight
- Year
- 2021
- Year Level
- master, master, master, master
- Course Code
- BMME063
Machine Learning & Learning Algorithms
- Level
- master
- Year
- 2021
- Year Level
- master
- Course Code
- BM05BAM
Supervised Machine Learning
- Level
- Master
- Year
- 2021
- Year Level
- Master
- Course Code
- EBDS20102
Unsupervised Machine Learning
- Level
- Master
- Year
- 2021
- Year Level
- Master
- Course Code
- EBDS20103
Unsupervised Machine Learning
- Level
- Master
- Year
- 2021
- Year Level
- Master
- Course Code
- EBDS20103-F
Supervised Machine Learning
- Level
- Master
- Year
- 2021
- Year Level
- Master
- Course Code
- EBDS20102-F
Big Data Analytics for Marketing Insight
- Year
- 2021
- Year Level
- master, master, master, master
- Course Code
- BMME063
Machine Learning & Learning Algorithms
- Level
- master
- Year
- 2021
- Year Level
- master
- Course Code
- BM05BAM