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.
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 2015. lsbclust: Least-Squares Bilinear Clustering for Three-Way Data. : The Comprehensive R Archive Network.
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.
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.