dr. (Michel) M van de Velden

All publications (58)

• Article (35)

  • Scholarly Publication (33)

    • A. Torres, J. César Machado, L. Vacas de Carvalho, M. van de Velden & P. Costa (2019). Same design, same response? Investigating natural designs in international logos. The Journal of Product and Brand Management, 28 (3), 317-329. doi: 10.1108/JPBM-10-2017-1632
    • L. Bransen, J. van Haaren & M. van de Velden (2019). Measuring soccer players’ contributions to chance creation by valuing their passes. Journal of Quantitative Analysis in Sports, 15 (2). doi: 10.1515/jqas-2018-0020 [go to publisher's site]
    • M. van de Velden, A. Iodice D'Enza & M. Yamamoto (2019). Special feature: dimension reduction and cluster analysis. Behaviormetrika, 46 (2), 239-241. doi: 10.1007/s41237-019-00092-6
    • U. Lorenzo-Seva & M. van de Velden (2019). MultipleCar: A Graphical User Interface MATLAB Toolbox to Compute Multiple Correspondence Analysis. Journal of Statistical Software, 90 (4). doi: 10.18637/jss.v090.i04
    • A. Markos, A. Iodice D'Enza & M. van de Velden (2019). Beyond Tandem Analysis: Joint Dimension Reduction and Clustering in R. Journal of Statistical Software, 91 (10). doi: 10.18637/jss.v091.i10
    • M. Takagishi, M. van de Velden & H. Yadohisa (2019). Clustering preference data in the presence of response‐style bias. British Journal of Mathematical and Statistical Psychology, 72, 401-425. doi: 10.1111/bmsp.12170
    • M. van de Velden, W. van den Heuvel, P.J.F. Groenen & H. Galy (2019). Retrieving a contingency table from a correspondence analysis solution. European Journal of Operational Research, 283 (2), 541-548. doi: 10.1016/j.ejor.2019.11.014
    • M. van de Velden, A. Iodice D'Enza & A. Markos (2018). Distance-based clustering of mixed data. Wiley Interdisciplinary Reviews. Computational Statistics. doi: 10.1002/wics.1456
    • M. van de Velden, A. Iodice D'Enza & F. Palumbo (2017). cluster correspondence analysis. Psychometrika, 82 (1), 158-185. doi: 10.1007/s11336-016-9514-0 [go to publisher's site]
    • P.J.F. Groenen & M. van de Velden (2016). Multidimensional Scaling by Majorization: A Review. Journal of Statistical Software, 73 (8), 1-26. doi: 10.18637/jss.v073.i08
    • J. van Dam & M. van de Velden (2015). Online profiling and clustering of Facebook users. Decision Support Systems, 70, 60-72. doi: 10.1016/j.dss.2014.12.001
    • 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
    • J.C. Gower, P.J.F. Groenen, M. van de Velden & K. Vines (2014). Better perceptual maps: Introducing explanatory icons to facilitate interpretation. Food Quality and Preference, 36, 61-69. doi: 10.1016/j.foodqual.2014.01.004
    • I. Kim, M. Kim, M. van de Velden & H. Lee (2013). Psychological positioning of bottled tea products: A comparison between two Kansei profiling techniques. Food Science and Biotechnology, 22 (1), 257-268. doi: 10.1007/s10068-013-0035-7
    • M. van de Velden, A. de Beuckelaer, P.J.F. Groenen & F.M.T.A. Busing (2013). Solving degeneracy and stability in nonmetric unfolding. Food Quality and Preference, 27 (1), 85-95. doi: 10.1016/j.foodqual.2012.06.010
    • T.H.A. Bijmolt & M. van de Velden (2012). Multi-attribute perceptual mapping using idiosyncratic brand and attribute sets. Marketing Letters, 23 (3), 585-601. doi: 10.1007/s11002-012-9163-8
    • M. van de Velden & Y. Takane (2012). Generalized canonical correlation analysis with missing values. Computational Statistics, 27 (3), 551-571. doi: 10.1007/s00180-011-0276-y
    • S. Knapp & M. van de Velden (2011). Global ship risk profiles: Safety and the marine environment. Transportation Research. Part D, Transport and Environment, 16 (8), 595-560. doi: 10.1016/j.trd.2011.08.001
    • J.C. Gower, P.J.F. Groenen & M. van de Velden (2010). Area biplots. Journal of Computational and Graphical Statistics, 19 (1), 46-61. doi: 10.1198/jcgs.2010.07134
    • S. Knapp & M. van de Velden (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. doi: 10.1080/01441640802573749
    • U. Lorenzo-Seva, M. van de Velden & H.A.L. Kiers (2009). CAR: A MATLAB Package to Compute Correspondence Analysis with Rotations. Journal of Statistical Software, 31 (8), 1-14. doi: 10.18637/jss.v031.i08
    • U. Lorenzo-Seva, M. van de Velden & H.A.L. Kiers (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. doi: 10.1348/000711008X368295
    • J. Blasius, M. Greenarcre, P.J.F. Groenen & M. van de Velden (2009). Special issue on correspondence analysis and related methods. Computational Statistics & Data Analysis, 53 (8), 3103-3106. doi: 10.1016/j.csda.2008.11.010
    • M. van de Velden, P.J.F. Groenen & J. Poblome (2009). Seriation by constrained correspondence analysis: A simulation study. Computational Statistics & Data Analysis, 53 (8), 3129-3138. doi: 10.1016/j.csda.2008.08.020
    • A. Torres & M. van de Velden (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. doi: 10.1016/j.foodqual.2005.09.005
    • H. van Herk & M. van de Velden (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. doi: 10.1016/j.foodqual.2007.05.006
    • M. van de Velden & T.H.A. Bijmolt (2006). Generalized canonical correlation analysis of matrices with missing rows: a simulation study. Psychometrika, 71, 323-331. doi: 10.1007/s11336-004-1168-9
    • M. van de Velden & T.H.A. Bijmolt (2005). A Visualization of the Dutch political landscape using generalized canonical correlation analysis. Medium Econometrische Toepassingen, 13 (2), 20-24.
    • M. van de Velden & H.A.L. Kiers (2005). Rotation in Correspondence Analysis. Journal of Classification, 22, 251-271. doi: 10.1007/s00357-005-0016-5
    • M. van de Velden (2004). Optimal scaling of paired comparison data. Journal of Classification, 21, 89-109.
    • P.J.F. Groenen & M. van de Velden (2004). Inverse correspondence analysis. Linear Algebra and its Applications, 388, 221-238. doi: 10.1016/j.laa.2003.10.016
    • M. van de Velden, P.J.F. Groenen & J. Poblome (2003). Seriation met bedingter Korrespondenzanalyse: Simulationsexperimente. Archaologische informationen, 26, 449-455.
    • M. van de Velden & H. Neudecker (2000). On an eigenvalue property relevant in correspondence analysis and related methods. Linear Algebra and its Applications, 321, 347-364.

  • Professional Publication (2)

    • L.F.M. Groot & M. van de Velden (2010). De WK-poulewijzer. Economisch-Statistische Berichten, 95, 362-364.
    • B. Karsemeijer, P.H.B.F. Franses & M. van de Velden (2007). Saaie Winkelstraten. Economisch-Statistische Berichten, 746.

• Part of book - Chapter (2)

  • A. Iodice D'Enza, P.J.F. Groenen & M. van de Velden (2020). PowerCA: A Fast Iterative Implementation of Correspondence Analysis. In T Imaizumi, A Nakayama & S Yokoyama (Eds.), Advanced Studies in Behaviormetrics and Data Science (Behaviormetrics: Quantitative Approaches to Human Behavior) (pp. 283-296). Singapore: Springer doi: 10.1007/978-981-15-2700-5
  • M. van de Velden (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 (Advanced studies in theoretical and applied econometrics, 36) (pp. 87-99). Boston, U.S.A.: Kluwer Academic Publisher

• Report (18)

  • 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
  • M. van de Velden, A.I. D'Enza & F. Palumbo (2014). Cluster Correspondence Analysis. (Intern rapport, EI report serie, no EI 2014-24). Rotterdam: Econometric Institute
  • M. van de Velden, A. Iodice D'Enza & F. Palumbo (2014). Cluster Correspondence Analysis. (Intern rapport, Econometric Insititute Report). Repub: Econometric Institute
  • M. van de Velden, A.I. D'Enza & F. Palumbo (2014). Cluster Correspondence Analysis. (Intern rapport, EI report serie, no EI 2014-24). Rotterdam: Econometric Institute
  • M. van de Velden, K.Y. Lam & P.H.B.F. Franses (2011). Visualizing attitudes towards service levels. (Preprints, ERIM report series Research in management). Rotterdam: ERIM
  • M. van de Velden, A. de Beuckelaer, P.J.F. Groenen & F.M.T.A. Busing (2011). Nonmetric unfolding of marketing data: degeneracy and stability. (Preprints, ERIM Report Series, no 2011-03-11). Rotterdam: ERIM
  • J.C. Gower, P.J.F. Groenen, M. van de Velden & K. Vines (2010). Perceptual maps: The good, the bad and the ugly. (Preprints, Report Serie Research in Management, no ERS-2010-011-MKT). 3000 DR Rotterdam: ERIM
  • S. Knapp & M. van de Velden (2010). Visualization of ship risk profiles for the shipping industry. (Preprints, ERIM Research in management, no 2010-03-23). 3000 DR Rotterdam: ERIM
  • M. van de Velden & Y. Takane (2009). Generalized canonical correlation analysis with missing values. (Intern rapport, EI report serie, no EI 2009-28). 3000 DR Rotterdam: DEPARTMENT OF ECONOMETRICS
  • U. Lorenzo-Seva, M. van de Velden & H.A.L. Kiers (2007). Oblique rotation in correspondence analysis: a step forward in the search of the simplest interpretation. (Intern rapport, Econometric Institute Report, no EI 2007-25). 3000 DR Rotterdam: Econometrics
  • J.C. Gower, P.J.F. Groenen & M. van de Velden (2007). Area Biplots. (Intern rapport, EI report serie, no EI 2007-48). 3000 DR Rotterdam: Econometrics
  • S. Knapp & M. van de Velden (2007). Visualization of differences across port state control regimes by means of correspondence analysis. (Intern rapport, Econometric Institute Report, no EI 2007-32). 3000 DR Rotterdam: Econometrics
  • M. van de Velden (2007). Detecting response styles by using dual scaling of successive categories. (Intern rapport, Econometric Institute Report, no EI 2007-41). 3000 DR Rotterdam: Econometrics
  • M. van de Velden, P.J.F. Groenen & J. Poblome (2007). Seriation by constrained correspondence analysis: a simulation study. (Intern rapport, Econometric Institute Report, no EI 2007-40). 3000 DR Rotterdam: Econometrics
  • M. van de Velden, P.J.F. Groenen & J. Poblome (2005). Seriation mit bedingter Korrespondenzanalyse: Simulationsexperimente. (Intern rapport, Econometric Institute Reprint Serie, no EI-1344). 3000 DR Rotterdam: Econometrics
  • A. Torres & M. van de Velden (2005). Perceptual mapping of multiple variable batteries by plotting supplementary variables in correspondence analysis of rating data. (Intern rapport, Econometric Institute Report Serie, no EI2005-14). 3000 DR Rotterdam: Econometrics
  • P.J.F. Groenen & M. van de Velden (2004). Multidimensional scaling. (Intern rapport, Econometric Institute, no EI 2004-15). :
  • P.J.F. Groenen & M. van de Velden (2002). Inverse correspondence analysis. (Intern rapport, Econometric Institute, no EI 2002-31). :

• Article in volume (3)

  • M. van de Velden (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). tokyo: universal academy press
  • P.J.F. Groenen & M. van de Velden (2005). Multidimensional Scaling. In B.S. Everitt & D.C. Howel (Eds.), Encyclopedia of Statistics in Behavioral Sciences Vol. 2. Encyclopedia of Statistics in Behavioral Sciences (pp. 1280-1289)
  • M. van de Velden & H.A.L. Kiers (2003). 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). Tokyo: Springer Verlag

Ancillary activities (3)

Teaching (7)

PhD list (2)

Editorial positions (2)

Present position