Dr. M. (Michel) van de Velden

Erasmus School of Economics (ESE)
Erasmus University Rotterdam
Member ERIM
Field: Marketing
Affiliated since 2004

Michel van de Velden is an associate Professor of Statistics at the Econometric Institute of the Erasmus University Rotterdam. His main research interests are exploratory data analysis. In particular,  dimension reduction and cluster analysis methods with a strong focus on data visualization. In addition, he is in involved in several supervised machine learning projects involving tree-based machine learning methods.

Publications

  • Academic (33)
    • Velden, M., Heuvel, W., Groenen, P., & Galy, H. (2019). Retrieving a contingency table from a correspondence analysis solution. European Journal of Operational Research, 283(2), 541-548. https://doi.org/10.1016/j.ejor.2019.11.014

    • Takagishi, M., Velden, M., & Yadohisa, H. (2019). Clustering preference data in the presence of response?style bias. British Journal of Mathematical and Statistical Psychology, 72, 401-425. https://doi.org/10.1111/bmsp.12170

    • Bransen, L., Haaren, J., & Velden, M. (2019). Measuring soccer players’ contributions to chance creation by valuing their passes. Journal of Quantitative Analysis in Sports, 15(2). https://doi.org/10.1515/jqas-2018-0020

    • Velden, M., Iodice D'Enza, A., & Yamamoto, M. (2019). Special feature: dimension reduction and cluster analysis. Behaviormetrika, 46(2), 239-241. https://doi.org/10.1007/s41237-019-00092-6

    • Torres, A., César Machado, J., Vacas de Carvalho, L., Velden, M., & Costa, P. (2019). Same design, same response? Investigating natural designs in international logos. The Journal of Product and Brand Management, 28(3), 317-329. https://doi.org/10.1108/JPBM-10-2017-1632

    • Lorenzo-Seva, U., & Velden, M. (2019). MultipleCar: A Graphical User Interface MATLAB Toolbox to Compute Multiple Correspondence Analysis. Journal of Statistical Software, 90(4). https://doi.org/10.18637/jss.v090.i04

    • Markos, A., Iodice D'Enza, A., & Velden, M. (2019). Beyond Tandem Analysis: Joint Dimension Reduction and Clustering in R. Journal of Statistical Software, 91(10). https://doi.org/10.18637/jss.v091.i10

    • Velden, M., Iodice D'Enza, A., & Markos, A. (2018). Distance-based clustering of mixed data. Wiley Interdisciplinary Reviews. Computational Statistics. https://doi.org/10.1002/wics.1456

    • Velden, M., Iodice D'Enza, A., & Palumbo, F. (2016). cluster correspondence analysis. Psychometrika, 82(1), 158-185. https://doi.org/10.1007/s11336-016-9514-0

    • Groenen, P., & Velden, M. (2016). Multidimensional Scaling by Majorization: A Review. Journal of Statistical Software, 73(8), 1-26. https://doi.org/10.18637/jss.v073.i08

    • Schoonees, P., Velden, M., & Groenen, P. (2015). Constrained Dual Scaling for Detecting Response Styles in Categorical Data. Psychometrika, 80(4), 968-994. https://doi.org/10.1007/s11336-015-9458-9

    • van Dam, J-W., & Velden, M. (2015). Online profiling and clustering of Facebook users. Decision Support Systems, 70, 60-72. https://doi.org/10.1016/j.dss.2014.12.001

    • Gower, JC., Groenen, P., Velden, M., & Vines, K. (2014). Better perceptual maps: Introducing explanatory icons to facilitate interpretation. Food Quality and Preference, 36, 61-69. https://doi.org/10.1016/j.foodqual.2014.01.004

    • Kim, I-A., Kim, M-A., Velden, M., & Lee, H-S. (2013). Psychological positioning of bottled tea products: A comparison between two Kansei profiling techniques. Food Science and Biotechnology, 22(1), 257-268. https://doi.org/10.1007/s10068-013-0035-7

    • Velden, M., de Beuckelaer, A., Groenen, P., & Busing, FMTA. (2013). Solving degeneracy and stability in nonmetric unfolding. Food Quality and Preference, 27(1), 85-95. https://doi.org/10.1016/j.foodqual.2012.06.010

    • Bijmolt, THA., & Velden, M. (2012). Multi-attribute perceptual mapping using idiosyncratic brand and attribute sets. Marketing Letters, 23(3), 585-601. https://doi.org/10.1007/s11002-012-9163-8

    • Velden, M., & Takane, Y. (2011). Generalized canonical correlation analysis with missing values. Computational Statistics, 27(3), 551-571. https://doi.org/10.1007/s00180-011-0276-y

    • Knapp, S., & Velden, M. (2011). Global ship risk profiles: Safety and the marine environment. Transportation Research. Part D, Transport and Environment, 16(8), 595-560. https://doi.org/10.1016/j.trd.2011.08.001

    • Gower, JC., Groenen, P., & Velden, M. (2010). Area biplots. Journal of Computational and Graphical Statistics, 19(1), 46-61. https://doi.org/10.1198/jcgs.2010.07134

    • Knapp, S., & Velden, M. (2009). Visualization of Differences in Treatment of Safety Inspections across Port State Control Regimes: A Case for Increased Harmonization Efforts. Transport Reviews, 29(4), 499-514. https://doi.org/10.1080/01441640802573749

    • Lorenzo-Seva, U., Velden, M., & Kiers, HAL. (2009). CAR: A MATLAB Package to Compute Correspondence Analysis with Rotations. Journal of Statistical Software, 31(8), 1-14. https://doi.org/10.18637/jss.v031.i08

    • Lorenzo-Seva, U., Velden, M., & Kiers, HAL. (2009). Oblique rotation in correspondence analysis: A step forward in the search for the simplest interpretation. British Journal of Mathematical and Statistical Psychology, 62, 583-600. https://doi.org/10.1348/000711008X368295

    • Velden, M., Groenen, P., & Poblome, J. (2009). Seriation by constrained correspondence analysis: A simulation study. Computational Statistics & Data Analysis, 53(8), 3129-3138. https://doi.org/10.1016/j.csda.2008.08.020

    • Blasius, J., Greenarcre, M., Groenen, P., & Velden, M. (2009). Special issue on correspondence analysis and related methods. Computational Statistics & Data Analysis, 53(8), 3103-3106. https://doi.org/10.1016/j.csda.2008.11.010

    • van Herk, H. H., & Velden, M. (2007). Insight into the relative merits of rating and ranking in a cross-national context using three-way correspondence analysis. Food Quality and Preference, 18(8), 1096-1105. https://doi.org/10.1016/j.foodqual.2007.05.006

    • Torres, A., & Velden, M. (2007). Perceptual mapping of multiple variable batteries by plotting supplementary variables in correspondence analysis of rating data. Food Quality and Preference, 18(1), 121-129. https://doi.org/10.1016/j.foodqual.2005.09.005

    • Velden, M., & Bijmolt, THA. (2006). Generalized canonical correlation analysis of matrices with missing rows: a simulation study. Psychometrika, 71, 323-331. https://doi.org/10.1007/s11336-004-1168-9

    • Velden, M., & Bijmolt, THA. (2005). A Visualization of the Dutch political landscape using generalized canonical correlation analysis. Medium Econometrische Toepassingen, 13(2), 20-24.

    • Velden, M., & Kiers, HAL. (2005). Rotation in Correspondence Analysis. Journal of Classification, 22, 251-271. https://doi.org/10.1007/s00357-005-0016-5

    • Groenen, P., & Velden, M. (2004). Inverse correspondence analysis. Linear Algebra and Its Applications, 388, 221-238. https://doi.org/10.1016/j.laa.2003.10.016

    • Velden, M. (2004). Optimal scaling of paired comparison data. Journal of Classification, 21, 89-109.

    • Velden, M., Groenen, P., & Poblome, J. (2003). Seriation met bedingter Korrespondenzanalyse: Simulationsexperimente. Archaologische informationen, 26, 449-455.

    • Velden, M., & Neudecker, H. (2000). On an eigenvalue property relevant in correspondence analysis and related methods. Linear Algebra and Its Applications, 321, 347-364.

  • Professional (2)
    • Groot, LFM., & Velden, M. (2010). De WK-poulewijzer. Economisch-Statistische Berichten, 95, 362-364.

    • Karsemeijer, B., Franses, P. H., & Velden, M. (2007). Saaie Winkelstraten. Economisch-Statistische Berichten, (14 december 2007), 746.

  • Academic (2)
    • Iodice D'Enza, A., Groenen, P., & Velden, M. (2020). PowerCA: A Fast Iterative Implementation of Correspondence Analysis. In T. Imaizumi, A. Nakayama, & S. Yokoyama (Eds.), Advanced Studies in Behaviormetrics and Data Science (pp. 283-296). Springer. Behaviormetrics: Quantitative Approaches to Human Behavior https://doi.org/10.1007/978-981-15-2700-5

    • Velden, M. (2000). Dual scaling and correspondence analysis of rank order data. In R. D. H. Heijmans, D. S. G. Pollock, & A. Satorra (Eds.), Innovations in Multivariate Statistical Analysis. A Festschrift for Heinz Neudecker (pp. 87-99). Kluwer Academic Publisher. Advanced studies in theoretical and applied econometrics Vol. 36

  • Academic (3)
    • Velden, M. (2008). Detecting Response Styles by using Dual Scaling of Successive Categories. In K. Shigemasu, A. Okada, T. Imaizumi, & T. Hoshino (Eds.), New trends in psychometrics (pp. 517-524). universal academy press.

    • Groenen, P., & Velden, M. (2005). Multidimensional Scaling. In B. S. Everitt, & D. C. Howel (Eds.), Encyclopedia of Statistics in Behavioral Sciences (Vol. 2, pp. 1280-1289)

    • Velden, M., & Kiers, HAL. (2001). An application of rotation in correspondence analysis. In H. Yanai, A. Okada, K. Shigemasu, Y. Kano, & J. J. Meulman (Eds.), New Developments in Psychometrics (pp. 471-478). Springer.

  • Academic (12)
    • Schoonees, P., Groenen, P., & Velden, M. (2015). Least-squares Bilinear Clustering of Three-way Data. (EI report series 2014-23 ed.) Econometric Institute. EI report series Vol. 2014-23

    • Velden, M., D'Enza, AI., & Palumbo, F. (2014). Cluster Correspondence Analysis. (EI report serie EI 2014-24 ed.) Econometric Institute. EI report serie Vol. EI 2014-24

    • Velden, M., & Takane, Y. (2009). Generalized canonical correlation analysis with missing values. (EI report serie EI 2009-28 ed.) DEPARTMENT OF ECONOMETRICS. EI report serie Vol. EI 2009-28

    • Velden, M., Groenen, P., & Poblome, J. (2007). Seriation by constrained correspondence analysis: a simulation study. (Econometric Institute Report EI 2007-40 ed.) Econometrics. Econometric Institute Report Vol. EI 2007-40

    • Velden, M. (2007). Detecting response styles by using dual scaling of successive categories. (Econometric Institute Report EI 2007-41 ed.) Econometrics. Econometric Institute Report Vol. EI 2007-41

    • Gower, JC., Groenen, P., & Velden, M. (2007). Area Biplots. (EI report serie EI 2007-48 ed.) Econometrics. EI report serie Vol. EI 2007-48

    • Lorenzo-Seva, U., Velden, M., & Kiers, HAL. (2007). Oblique rotation in correspondence analysis: a step forward in the search of the simplest interpretation. (Econometric Institute Report EI 2007-25 ed.) Econometrics. Econometric Institute Report Vol. EI 2007-25

    • Knapp, S., & Velden, M. (2007). Visualization of differences across port state control regimes by means of correspondence analysis. (Econometric Institute Report EI 2007-32 ed.) Econometrics. Econometric Institute Report Vol. EI 2007-32

    • Velden, M., Groenen, P., & Poblome, J. (2005). Seriation mit bedingter Korrespondenzanalyse: Simulationsexperimente. (Econometric Institute Reprint Serie EI-1344 ed.) Econometrics. Econometric Institute Reprint Serie Vol. EI-1344

    • Torres, A., & Velden, M. (2005). Perceptual mapping of multiple variable batteries by plotting supplementary variables in correspondence analysis of rating data. (Econometric Institute Report Serie EI2005-14 ed.) Econometrics. Econometric Institute Report Serie Vol. EI2005-14

    • Groenen, P., & Velden, M. (2004). Multidimensional scaling. (Econometric Institute EI 2004-15 ed.) Econometric Institute Vol. EI 2004-15

    • Groenen, P., & Velden, M. (2002). Inverse correspondence analysis. (Econometric Institute EI 2002-31 ed.) Econometric Institute Vol. EI 2002-31

  • Academic (4)
    • Velden, M., de Beuckelaer, A., Groenen, P., & Busing, FMTA. (2011). Nonmetric unfolding of marketing data: degeneracy and stability. ERIM. ERIM Report Series Vol. 2011-03-11

    • Velden, M., Lam, KY. K. Y., & Franses, P. H. (2011). Visualizing attitudes towards service levels. ERIM. ERIM report series Research in management http://hdl.handle.net/1765/26471

    • Knapp, S., & Velden, M. (2010). Visualization of ship risk profiles for the shipping industry. ERIM. ERIM Research in management Vol. 2010-03-23

    • Gower, JC., Groenen, P., Velden, M., & Vines, K. (2010). Perceptual maps: The good, the bad and the ugly. ERIM. Report Serie Research in Management Vol. ERS-2010-011-MKT

  • Computational Statistics (Journal)

    Editorial work (Academic)

  • Role: Member Supervisory Team
  • PhD Candidate: Pieter Schoonees
  • Time frame: 2011 - 2015
  • Role: Co-promotor
  • PhD Candidate: Rick Willemsen
  • Time frame: 2020 -
  • Role: Daily Supervisor
  • PhD Candidate: Daniël Johannes Wilhelmus Touw
  • Time frame: 2020 -
2013
October
10
2006
November
29
ERIM Grant Workshop
As: Speaker

Address

Visiting address

Office: ET-34
Burgemeester Oudlaan 50
3062 PA Rotterdam

Postal address

Postbus 1738
3000 DR Rotterdam
Netherlands