Navigation
Dr Pieter Schoonees
Assistant Professor
Rotterdam School of Management (RSM)
Erasmus University Rotterdam
Connected with
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.
Professional experience
Assistant Professor
Erasmus University Rotterdam
RSM - Rotterdam School of Management
Department of Marketing Management
Publications
Scholarly Publications (8)
- H. van Herk, P.C. Schoonees, P.J.F. Groenen & J.M. van Rosmalen (2018). Competing for the same value segments? Insight into the volatile Dutch political landscape. PLoS One (online), 13 (1):e0190598. doi: 10.1371/journal.pone.0190598
- P.C. Schoonees, N.J. le Roux & R.L.J. 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
- P.C. Schoonees 2015. lsbclust: Least-Squares Bilinear Clustering for Three-Way Data. : The Comprehensive R Archive Network.
- H. van Herk, P.C. Schoonees, P.J.F. Groenen & J.M. van Rosmalen (2015). Competing for the Same Value Segments: Explaining the Volatile Dutch Political Landscape. : ERIM Report Series Research in Management
- P.C. Schoonees, P.J.F. Groenen & M. van de Velden (2015). Least-squares Bilinear Clustering of Three-way Data. (Intern rapport, EI report series, no 2014-23). Rotterdam: Econometric Institute
- P.C. Schoonees, M. van de Velden & P.J.F. Groenen (2015). Constrained Dual Scaling for Detecting Response Styles in Categorical Data. Psychometrika, 80 (4), 968-994. doi: 10.1007/s11336-015-9458-9
- P.C. Schoonees 2015. cds: Constrained Dual Scaling for Detecting Response Styles. : The Comprehensive R Archive Network.
- P.C. Schoonees 2014. vdg: Variance Dispersion Graphs and Fraction of Design Space Plots. : The Comprehensive R Archive Network.
Doctoral Thesis
- P.C. Schoonees (2015, december 15). Methods for Modelling Response Styles. Erasmus University Rotterdam (142 pag.) (Rotterdam: Erasmus Research Institute of Management (PhD Serie 348)) Prom./coprom.: prof.dr. P.J.F. Groenen & dr. M. van de Velden.
Courses
Advanced R
- Study year: 2020/2021, 2019/2020
- Code: BERMSKL018
- ECTS: 2 Level: Master, PhD
Machine Learning & Learning Algorithms
- Study year: 2020/2021
- Code: BM05BAM
- ECTS: 4 Level: Master
Big Data Analytics for Marketing Insight
- Study year: 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016
- Code: BMME063
- ECTS: 6 Level: Master, Master, Master, Master
Supervised Machine Learning
- Study year: 2020/2021
- Code: EBDS20102
- Level: Master
Supervised Machine Learning
- Study year: 2020/2021
- Code: EBDS20102-F
- Level: Master
Unsupervised Machine Learning & Reinforcement Learning
- Study year: 2020/2021
- Code: EBDS20103
- Level: Master
Unsupervised Machine Learning & Reinforcement Learning
- Study year: 2020/2021
- Code: EBDS20103-F
- Level: Master
Applied Statistics 1
- Study year: 2020/2021, 2019/2020, 2017/2018, 2016/2017, 2015/2016, 2014/2015, 2013/2014, 2012/2013, 2011/2012
- Code: FEB11005X
- Level: Bachelor 1
Machine Learning
- Study year: 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016, 2014/2015, 2013/2014, 2012/2013
- Code: FEM31002
- Level: Master
Past courses
Artificial Intelligence: Machine learning for Business Analytics
- Study year: 2019/2020, 2018/2019, 2017/2018
- Code: DBA0008
Introduction to R
- Study year: 2019/2020, 2018/2019
- Code: BERMSKL017
- ECTS: 2 Level: Master
Programming & Visualization for Business Analytics
- Study year: 2019/2020, 2018/2019, 2017/2018, 2016/2017
- Code: DBA0002
Supervised Machine Learning
- Study year: 2019/2020
- Code: TI191
- ECTS: 3 Level: Master
Supervised Machine Learning
- Study year: 2019/2020
- Code: TI198
- Level: Master
Unsupervised & Reinforcement Machine Learning
- Study year: 2019/2020
- Code: TI192
- ECTS: 3 Level: Master
Unsupervised Machine Learning & Reinforcement Learning
- Study year: 2019/2020
- Code: TI199
- ECTS: 4 Level: Master
Advanced R
- Study year: 2018/2019, 2017/2018, 2016/2017
- Code: BERMSKL016
- ECTS: 1 Level: Master
Introduction to Data Analysis with R
- Study year: 2017/2018, 2016/2017
- Code: BERMSKL015
- ECTS: 1 Level: Master
Thesis Clinics Skills Course
- Study year: 2017/2018
- Code: BMRMMM-SKILLS
- Level: Master
Advanced Marketing Decision Models
- Study year: 2016/2017
- Code: BERMASC041
- ECTS: 7 Level: Master
Data Analysis with R
- Study year: 2013/2014, 2012/2013
- Code: BERMSS008
- ECTS: 2
More information
Contact information
Visiting address
Office: Mandeville Building T10-13
Burgemeester Oudlaan 50
3062 PA Rotterdam
Postal address
Postbus 1738
3000 DR Rotterdam
Netherlands