Prof. dr. P.J.F. (Patrick) Groenen

Full Professor
Erasmus School of Economics (ESE)
Erasmus University Rotterdam
Fellow ERIM
Field: Marketing
Affiliated since 2002

Patrick J.F. Groenen is a professor of statistics at the Erasmus School of Economics (ESE).

Professor Groenen's work focuses on a range of issues relating to exploratory multivariate analysis and multidimensional scaling and their numerical algorithms.

He is the co-author of a textbook on multidimensional scaling published by Springer and has published articles in the top peer-reviewed journals including, among others, the Journal of Marketing Research, Computational Statistics and Data Analysis, Psychological Methods, Psychometrika, the Journal of Classification, the British Journal of Mathematical and Statistical Psychology, and the Journal of Empirical Finance.

  • M. Tenenhaus, A. Tenenhaus & P.J.F. Groenen (2015). Regularized Consensus PCA. (Extern rapport). : arXiv
  • C.A. Rietveld, P.J.F. Groenen, P.D. Koellinger, M. Van der Loos & R. Thurik (2013). Living forever: entrepreneurial overconfidence at older ages. (Preprints). : ERIM Report Series Research in Management

Key Publications (15)

  • N.Y. Ates, M. Tarakci, J.P. Porck, D. van Knippenberg & P.J.F. Groenen (2018). The Dark Side of Visionary Leadership in Strategy Implementation: Strategic Alignment, Strategic Consensus and Commitment. Journal of Management, Accepted.
  • J.P. Porck, D.L. van Knippenberg, M. Tarakci, N.Y. Ates, P.J.F. Groenen & M. de Haas (2018). Do Group and Organizational Identification Help or Hurt Intergroup Strategic Consensus? Journal of Management, in press. doi: 10.1177/0149206318788434
  • 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[go to publisher's site]
  • M. Tenenhaus, A. Tenenhaus & P.J.F. Groenen (2017). Regularized Generalized Canonical Correlation Analysis: A Framework for Sequential Multiblock Component Methods. Psychometrika, 82 (3), 737-777. doi: http://dx.doi.org/10.1007/s11336-017-9573-x[go to publisher's site]
  • R. de Vlaming, A. Okbay, C.A. Rietveld, M. Johannesson, P. Magnusson, A.G. Uitterlinden, F.J.A. van Rooij, A. Hofman, P.J.F. Groenen, R. Thurik & P.D. Koellinger (2017). Meta-GWAS Accuracy and Power (MetaGAP) calculator shows that hiding heritability is partially due to imperfect genetic correlations across studies. PLoS Genetics (online), 13 (1):e1006495. doi: http://dx.doi.org/10.1371/journal.pgen.1006495[go to publisher's site]
  • E.A.W. Slob, P.J.F. Groenen, A.R. Thurik & C.A. Rietveld (2017). A Note on the Use of Egger Regression in Mendelian Randomization Studies. International Journal of Epidemiology, 46 (6), 2094-2097. doi: http://dx.doi.org/10.1093/ije/dyx191[go to publisher's site]
  • G.J.J. van den Burg & P.J.F. Groenen (2016). GenSVM: A Generalized Multiclass Support Vector Machine. Journal of Machine Learning Research, 17 (225), 1-42. doi: http://jmlr.org/papers/v17/14-526.html
  • P.J.F. Groenen & M. van de Velden (2016). Multidimensional Scaling by Majorization: A Review. Journal of Statistical Software, 73 (8), 1-26. doi: http://dx.doi.org/10.18637/jss.v073.i08
  • M. Tarakci, L.L. Greer & P.J.F. Groenen (2016). When does power disparity help or hurt group performance? Journal of Applied Psychology, 101 (3), 415-429. doi: http://dx.doi.org/10.1037/apl0000056
  • N. Barban, R. Jansen, R. de Vlaming, A. Vaez, J.J. Mandemakers, F.C. Tropf, X. Shen, J. Wilson, D. Chasman, I.M. Nolte, V. Tragante, S. van der Laan, J. Perry, A. Kong, T. Ahluwalia, E. Albrecht, L. Yerges-Armstrong, G. Atzmon, K. Auro, K. Ayers, A. Bakshi, D. Ben-Avraham, K. Berger, A. Bergman, L. Bertram, L. Bielak, G. Bjornsdottir, M. Bonder, L. Broer, M. Bui, C. Barbieri, A. Cavadino, J. Chavarro, C. Turman, M. Concas, H. Cordell, G. Davies, P. Eibich, N. Eriksson, T. Esko, J. Eriksson, F. Falahi, J.F. Felix, M.A. Fontana, L. Franke, I. Gandin, A. Gaskins, C. Gieger, E. Gunderson, X. Guo, C. Hayward, C. He, E. Hofer, H. Huang, P. Joshi, S. Kanoni, R. Karlsson, S. Kiechl, A. Kifley, A. Kluttig, P. Kraft, V. Lagou, C. Lecoeur, J. Lahti, R. Li-Gao, P. Lind, T. Liu, E. Makalic, C. Mamasoula, L. Matteson, H. Mbarek, P. McArdle, G. McMahon, S. Meddens, E. Mihailov, M. Miller, S. Missmer, C. Monnereau, P. van der Most, R. Myhre, M. Nalls, T. Nutile, I. Kalafati, E. Porcu, I. Prokopenko, K. Rajan, J. Rich-Edwards, C.A. Rietveld, A. Robino, L. Rose, R. Rueedi, K. Ryan, Y. Saba, D. Schmidt, J. Smith, L. Stolk, E. Streeten, A. Tonjes, G. Thorleifsson, S. Ulivi, J. Wedenoja, J. Wellmann, P. Willeit, J. Yao, L. Yengo, J. Zhao, W. Zhao, D. Zhernakova, N. Amin, H. Andrews, B. Balkau, N. Barzilai, S. Bergmann, G. Biino, H. Bisgaard, K. Bonnelykke, D.I. Boomsma, J. Buring, H. Campbell, S. Cappellani, M. Ciullo, S. Cox, F. Cucca, D. Toniolo, G. Davey-Smith, I. Deary, G. Dedoussis, P. Deloukas, C.M. van Duijn, E.J.C. de Geus, J. Eriksson, D. Evans, J. Faul, C. Sala, P. Froguel, P. Gasparini, G. Girotto, H. Grabe, K.H. Greiser, P.J.F. Groenen, H. de Haan, J. Haerting, T.B. Harris, A. Heath, K. Heikkila, A. Hofman, G. Homuth, E. Holliday, J. Hopper, E. Hypponen, B. Jacobsson, V.W.V.K. Jaddoe, M. Johannesson, M. Kahonen, E. Kajantie, S. Kardia, B. Keavney, I. Kolcic, P. Koponen, P. Kovacs, F. Kronenberg, Z. Kutalik, M. La Bianca, G. Lachance, W. Iacono, S. Lai, T. Lehtimaki, D. Liewald, C. Lindgren, Y. Liu, R. Luben, M. Lucht, R. Luoto, P. Magnus, P. Magnusson, N. Martin, M. McGue, R. McQuillan, S. Medland, C. Meisinger, D. Mellstrom, A. Metspalu, M. Traglia, L. Milani, P. Mitchell, G. Montgomery, D. Mook-Kanamori, R. de Mutsert, E. Nohr, C. Ohlsson, P. Olsen, K. Ong, L. Paternoster, A. Pattie, B. Penninx, M. Perola, P. Peyser, M. Pirastu, O. Polasek, C. Power, J. Kaprio, L. Raffel, K. Raikkonen, O. Raitakari, P.M. Ridker, S. Ring, K. Roll, I. Rudan, D. Ruggiero, D. Rujescu, V. Salomaa, D. Schlessinger, H. Schmidt, R. Schmidt, N. Schupf, J. Smit, R. Sorice, T.D. Spector, J. Starr, D. Stockl, K. Strauch, M. Stumvoll, M. Swertz, U. Thorsteinsdottir, A. Thurik, N. Timpson, J. Tung, A.G. Uitterlinden, S. Vaccargiu, J. Viikari, V. Vitart, H. Volzke, P. Vollenweider, D. Vuckovic, J. Waage, G. Wagner, J.J. Wang, N. Wareham, D. Weir, G. Willemsen, J. Willeit, A. Wright, K. Zondervan, K. Stefansson, R. Krueger, J. Lee, D.J. Benjamin, D. Cesarini, P. Koellinger, M. den Hoed, H. Snieder, M.C. Mills & A.R. Thurik (2016). Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nature Genetics, 48 (12), 1462-1472. doi: http://dx.doi.org/10.1038/ng.3698[go to publisher's site]
  • A. Okbay, J.P. Beauchamp, M.A. Fontana, J. Lee, T. Pers, C.A. Rietveld, P. Turley, G. Chen, V. Emilsson, S. Meddens, S. Oskarsson, J.K. Pickrell, K. Thom, P. Timshel, R. de Vlaming, A. Abdellaoui, T. Ahluwalia, J. Bacelis, C. Baumbach, G. Bjornsdottir, J.H. Brandsma, M. Concas, J. Derringer, N. Furlotte, T. Galesloot, G. Girotto, R. Gupta, L. Hall, S. Harris, E. Hofer, M. Horikoshi, J. Huffman, K. Kaasik, I. Kalafati, R. Karlsson, A. Kong, J. Lahti, S.J. van der Lee, C. de Leeuw, P. Lind, K. Lindgren, T. Liu, M. Mangino, J. Marten, E. Mihailov, M. Miller, P. van der Most, C. Oldmeadow, A. Payton, N. Pervjakova, W. Peyrot, Y. Qian, O. Raitakari, R. Rueedi, E. Salvi, B. Schmidt, K. Schraut, J. Shi, A. Smith, R.A. Poot, B. St Pourcain, A. Teumer, G. Thorleifsson, N. Verweij, D. Vuckovic, J. Wellmann, H. Westra, J. Yang, W. Zhao, Z. Zhu, B.Z. Alizadeh, N. Amin, A. Bakshi, S. Baumeister, G. Biino, K. Bonnelykke, P. Boyle, H. Campbell, F.P. Cappuccio, G. Davies, J. De Neve, P. Deloukas, I. Demuth, J. Ding, P. Eibich, L. Eisele, N. Eklund, D. Evans, J. Faul, M. Feitosa, A. Forstner, I. Gandin, B. Gunnarsson, B. Halldorsson, T.B. Harris, A. Heath, L. Hocking, E. Holliday, G. Homuth, M. Horan, J. Hottenga, P. De Jager, P. Joshi, A. Jugessur, M. Kaakinen, M. Kahonen, S. Kanoni, L. Keltigangas-Jarvinen, L.A.L.M. Kiemeney, I. Kolcic, S. Koskinen, A. Kraja, M. Kroh, Z. Kutalik, A. Latvala, L. Launer, M. Lebreton, D. Levinson, P. Lichtenstein, P. Lichtner, D. Liewald, A. Loukola, P. Madden, R. Magi, T. Maki-Opas, R. Marioni, P. Marques-Vidal, G. Meddens, G. McMahon, C. Meisinger, T. Meitinger, Y. Milaneschi, L. Milani, G. Montgomery, R. Myhre, C. Nelson, D. Nyholt, W. Ollier, A. Palotie, L. Paternoster, N. Pedersen, K. Petrovic, D.J. Porteous, K. Raikkonen, S. Ring, A. Robino, O. Rostapshova, I. Rudan, A. Rustichini, V. Salomaa, A. Sanders, A. Sarin, H. Schmidt, R.J. Scott, B. Smith, J. Smith, J. Staessen, E. Steinhagen-Thiessen, K. Strauch, A. Terracciano, M. Tobin, S. Ulivi, S. Vaccargiu, L. Quaye, F.J.A. van Rooij, C. Venturini, A. Vinkhuyzen, U. Volker, H. Volzke, J. Vonk, D. Vozzi, J. Waage, E. Ware, G. Willemsen, J. Attia, D. Bennett, K. Berger, L. Bertram, H. Bisgaard, D.I. Boomsma, I. Borecki, U. Bultmann, C.F. Chabris, F. Cucca, D. Cusi, I. Deary, G. Dedoussis, C.M. van Duijn, J. Eriksson, B. Franke, L. Franke, P. Gasparini, P. Gejman, C. Gieger, H. Grabe, J. Gratten, P.J.F. Groenen, V. Gudnason, P. van der Harst, C. Hayward, D. Hinds, W. Hoffmann, E. Hyppnen, W. Iacono, B. Jacobsson, M. Jarvelin, K. Jockel, J. Kaprio, S. Kardia, T. Lehtimaki, S. Lehrer, P. Magnusson, N. Martin, M. McGue, A. Metspalu, N. Pendleton, B. Penninx, M. Perola, N. Pirastu, M. Pirastu, O. Polasek, D. Posthuma, C. Power, M. Province, N. Samani, D. Schlessinger, R. Schmidt, T.I.A. Sorensen, T.D. Spector, K. Stefansson, U. Thorsteinsdottir, A.R. Thurik, N. Timpson, H.W. Tiemeier, J. Tung, A.G. Uitterlinden, V. Vitart, P. Vollenweider, D. Weir, J. Wilson, A. Wright, D. Conley, R. Krueger, G.D. Smith, A. Hofman, D.I. Laibson, S. Medland, M. Meyer, J. Yang, M. Johannesson, P.M. Visscher, T. Esko, P.D. Koellinger, D. Cesarini & D.J. Benjamin (2016). Genome-wide association study identifies 74 loci associated with educational attainment. Nature, 533 (7604), 539-542. doi: http://dx.doi.org/10.1038/nature17671
  • M. Greenacre & P.J.F. Groenen (2016). Weighted Euclidean Biplots. Journal of Classification, 33, 442-459. doi: 10.1007/s00357-016-9213-7
  • P. Exterkate, P.J.F. Groenen, C. Heij & D.J.C. van Dijk (2016). Nonlinear forecasting with many predictors using kernel ridge regression. International Journal of Forecasting, 32 (3), 736-753. doi: http://dx.doi.org/10.1016/j.ijforecast.2015.11.017
  • A.K. Doering, S.H. Schwartz, J. Cieciuch, P.J.F. Groenen, V. Glatzel, J. Harasimczuk, N. Janowicz, M. Nyagolova, E.R. Scheefer, M. Allritz, T.C. Milfont & W. Bilsky (2015). Cross-cultural evidence of value structures and priorities in childhood. British Journal of Psychology, 106 (4), 675-699. doi: http://dx.doi.org/10.1111/bjop.12116[go to publisher's site]
  • R. de Vlaming & P.J.F. Groenen (2015). The Current and Future Use of Ridge Regression for Prediction in Quantitative Genetics. BIOMED RESEARCH INTERNATIONAL. doi: 10.1155/2015/143712
  • 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: http://dx.doi.org/10.1007/s11336-015-9458-9
  • P.J.F. Groenen, S. Gardner-Lubbe & N. Le Roux (2015). Spline-based nonlinear biplots. Advances in Data Analysis and Classification, 9, 219-238. doi: http://dx.doi.org/10.1007/s11634-014-0179-1[go to publisher's site]
  • 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: http://dx.doi.org/10.1016/j.foodqual.2014.01.004[go to publisher's site]
  • M. Tarakci, N.Y. Ates, J.P. Porck, D. van Knippenberg, P.J.F. Groenen & M. de Haas (2014). Strategic Consensus Mapping: A New Method for Testing and Visualizing Strategic Consensus Within and Between Teams. Strategic Management Journal, 35 (7), 1053-1069. doi: http://dx.doi.org/10.1002/smj.2151[go to publisher's site]
  • K. Sikorska, E.M.E.H. Lesaffre, P.J.F. Groenen & P.H.C. Eilers (2013). GWAS on your notebook: fast semi-parallel linear and logistic regression for genome-wide association studies. Bmc Bioinformatics, 14 (166), 1-11. doi: http://dx.doi.org/10.1186/1471-2105-14-166
  • C.A. Rietveld, S. Medland, J. Derringer, J. Yang, T. Esko, N.W. Martin, H. Westra, K. Shakhbazov, A. Abdellaoui, A. Agrawal, E. Albrecht, B.Z. Alizadeh, N. Amin, J. Barnard, S. Baumeister, K. Benke, L. Bielak, J. Boatman, P. Boyle, G. Davies, C. de Leeuw, N. Eklund, D. Evans, R. Fehrmann, K. Fischer, C. Gieger, H. Gjessing, S. Hägg, J. Harris, C. Hayward, C. Holzapfel, C.A. Verbaas, E. Ingelsson, B. Jacobsson, P. Joshi, A. Jugessur, M. Kaakinen, S. Kanoni, J. Karjalainen, I. Kolcic, K. Kristiansson, Z. Kutalik, J. Lahti, S. Lee, P. Lin, P. Lind, Y. Liu, K. Lohman, M. Loitfelder, G. McMahon, P. Marques Vidal, O. Meirelles, L. Milani, R. Myhre, M. Nuotio, C. Oldmeadow, K. Petrovic, W. Peyrot, O. Polasek, L. Quaye, E. Reinmaa, J. Rice, T. Rizzi, H. Schmidt, R. Schmidt, A. Smith, J. Smith, T. Tanaka, A. Terracciano, M.J.H.M. van der Loos, V. Vitart, H. Völzke, J. Wellmann, L. Yu, W. Zhao, J. Allik, J. Attia, S. Bandinelli, F. Bastardot, J. Beauchamp, D. Bennett, K. Berger, L. Bierut, D.I. Boomsma, U. Bültmann, H. Campbell, C.F. Chabris, L. Cherkas, M. Chung, F. Cucca, M. de Andrade, P. De Jager, J.E. De Neve, I. Deary, G. Dedoussis, P. Deloukas, M. Dimitriou, G. Eiriksdottir, M. Elderson, J. Eriksson, D. Evans, J. Faul, L. Ferrucci, M. Garcia, H. Grönberg, V. Gudnason, P. Hall, J. Harris, T.B. Harris, N. Hastie, A. Heath, D. Hernandez, W. Hoffmann, W.H.A. Hofman, R. Holle, E. Holliday, J.J. Hottenga, W. Iacono, T. Illig, M. Järvelin, M. Kähönen, J. Kaprio, R. Kirkpatrick, M. Kowgier, A. Latvala, L.J. Launer, D. Lawlor, T. Lehtimäki, J. Li, P. Lichtenstein, P. Lichtner, D. Liewald, P. Madden, P. Magnusson, T. Mäkinen, M. Masala, M. McGue, A. Metspalu, A. Mielck, M. Miller, G. Montgomery, S. Mukherjee, D. Nyholt, B.A. Oostra, L. Palmer, A. Palotie, B. Penninx, M. Perola, P. Peyser, M. Preisig, K. Räikkönen, O. Raitakari, A. Realo, S. Ring, S. Ripatti, F. Rivadeneira, I. Rudan, A. Rustichini, V. Salomaa, A. Sarin, D. Schlessinger, R.J. Scott, H. Snieder, B. St Pourcain, J. Starr, J. Sul, I. Surakka, R. Svento, A. Teumer, T. Lifelines Cohort Study, H. Tiemeier, F.J.A. van Rooij, D. Van Wagoner, E. Vartiainen, J. Viikari, P. Vollenweider, J. Vonk, G. Waeber, D. Weir, H. Wichmann, E. Widen, G. Willemsen, J. Wilson, A. Wright, D. Conley, G. Davey-Smith, L. Franke, P.J.F. Groenen, A. Hofman, M. Johannesson, S. Kardia, R. Krueger, D. Laibson, N. Martin, M. Meyer, D. Posthuma, A.R. Thurik, N. Timpson, A.G. Uitterlinden, C.M. van Duijn, P.M. Visscher, D.J. Benjamin, D. Cesarini & P.D. Koellinger (2013). GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science, 240 (6139), 1467-1471. doi: http://dx.doi.org/10.1126/science.1235488[go to publisher's site]
  • M.J.H.M. van der Loos, R. Haring, C.A. Rietveld, S. Baumeister, P.J.F. Groenen, A. Hofman, F.H. de Jong, P.D. Koellinger, T. Kohlmann, M.A. Nauck, F. Rivadeneira Ramirez, A.G. Uitterlinden, F.J.A. van Rooij, H. Wallaschofski & A.R. Thurik (2013). Serum testosterone levels in males are not associated with entrepreneurial behavior in two independent observational studies. Physiology & Behavior, 119, 110-114. doi: http://dx.doi.org/10.1016/j.physbeh.2013.06.003[go to publisher's site]
  • K. Sikorska, F. Rivadeneira, P.J.F. Groenen, A. Hofman, A.G. Uitterlinden, P.H.C. Eilers & E. Lesaffre (2013). Fast linear mixed model computations for genome-wide association studies with longitudinal data. Statistics in Medicine, 32 (1), 165-180. doi: http://dx.doi.org/10.1002/sim.5517[go to publisher's site]
  • M.J.H.M. van der Loos, C.A. Rietveld, N. Eklund, P.D. Koellinger, F. Rivadeneira Ramirez, G. Abecasis, G. Ankra-Badu, S. Baumeister, D.J. Benjamin, R. Biffar, S. Blankenberg, D.I. Boomsma, D. Cesarini, F. Cucca, E.J.C. de Geus, G. Dedoussis, P. Deloukas, M. Dimitriou, G. Eiriksdottir, J. Eriksson, C. Gieger, V. Gudnason, B. Hoehne, R. Holle, J.J. Hottenga, A.J. Isaacs, M. Jarvelin, M. Johannesson, M. Kaakinen, M. Kahonen, S. Kanoni, M. Laaksonen, J. Lahti, L.J. Launer, T. Lehtimaki, M. Loitfelder, P. Magnusson, S. Naitza, B.A. Oostra, M. Perola, K. Petrovic, L. Quaye, O. Raitakari, S. Ripatti, P. Scheet, D. Schlessinger, C. Schmidt, H. Schmidt, R. Schmidt, A. Senft, A. Smith, T.D. Spector, I. Surakka, R. Svento, A. Terracciano, E. Tikkanen, C. van Duijn, J. Viikari, H. Voelzke, H. Wichmann, P. Wild, S.M. Willems, G. Willemsen, F.J.A. van Rooij, P.J.F. Groenen, A.G. Uitterlinden, A. Hofman & A.R. Thurik (2013). The Molecular Genetic Architecture of Self-Employment. PLoS One (print), 8 (4), e60542. doi: http://dx.doi.org/10.1371/journal.pone.0060542[go to publisher's site]
  • P. Exterkate, D.J.C. van Dijk, C. Heij & P.J.F. Groenen (2013). Forecasting the yield curve in a data-rich environment using the factor-augmented Nelson-Siegel model. Journal of Forecasting, 32 (2013), 193-214. doi: http://dx.doi.org/10.1002/for.1258[go to publisher's site]
  • S. Cecere, P.J.F. Groenen & E.M.E.H. Lesaffre (2013). The Interval-Censored Biplot. Journal of Computational and Graphical Statistics, 22 (1), 123-134. doi: http://dx.doi.org/10.1080/10618600.2012.700874[go to publisher's site]
  • 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: http://dx.doi.org/10.1016/j.foodqual.2012.06.010[go to publisher's site]
  • G.I. Nalbantov, P.J.F. Groenen & E. Smirnov (2012). A Comparative Analysis of Instance-based Penalization Techniques for Classification. In H. Dai, J.N.K. Liu & E. Smirnov (Eds.), Reliable Knowledge Discovery (pp. 227-238). New York: Springer
  • N.Y. Ates, M. Tarakci, J.P. Porck, D. van Knippenberg & P.J.F. Groenen (2012). How Middle Managers Get Subordinates on Board? The Moderating Role of Strategic Alignment with CEO. In ERIM Report Series
  • J.P. Porck, D. van Knippenberg, M. Tarakci, N.Y. Ates, P.J.F. Groenen & M. de Haas (2012). Strategic Consensus Between Groups: A Social Identity Perspective. In ERIM Report Series
  • H. van Herk, P.J.F. Groenen & J.M. van Rosmalen (2012). Waarden, segmenten en politieke partijen: Stabiliteit en verandering in de jaren nul. In K. Aarts & M. Wittenberg (Eds.), Nederland in de jaren nul (pp. 19-37). Amsterdam: Pallas, Amsterdam University Press
  • S. Cecere, R. Leroy, P.J.F. Groenen, E. Lesaffre & D. Declerck (2012). Estimating emergence sequences of permanent teeth in Flemish schoolchildren using interval-censored biplots: a graphical display of tooth emergence sequences. Community Dentistry and Oral Epidemiology, 40 (suppl.1), 50-56. doi: http://dx.doi.org/10.1111/j.1600-0528.2011.00666.x[go to publisher's site]
  • J.P. Beauchamp, D. Cesarini, M. Johannesson, M.J.H.M. van der Loos, P.D. Koellinger, P.J.F. Groenen, J.H. Fowler, J.N. Rosenquist, A.R. Thurik & N.A. Christakis (2011). Molecular genetics and economics. Journal of Economic Perspectives, 25 (4), 57-82. doi: http://dx.doi.org/10.1257jep.25.4.57[go to publisher's site]
  • C. Heij, D.J.C. van Dijk & P.J.F. Groenen (2011). Real-time macroeconomic forecasting with leading indicators: An empirical comparison. International Journal of Forecasting, 27 (2), 466-481. doi: http://dx.doi.org/10.1016/j.ijforecast.2010.04.008[go to publisher's site]
  • C. Heij, D.J.C. van Dijk & P.J.F. Groenen (2011). Forecasting with leading indicators by means of the principal covariate index. Journal of Business Cycle Measurement and Analysis, 4 (1), 73-92. doi: 10.1787/jbcma-2011-5kgdwlpzs79v[go to publisher's site]
  • M.J.H.M. van der Loos, P.D. Koellinger, P.J.F. Groenen, C.A. Rietveld, F. Rivadeneira, F.J.A. van Rooij, A.G. Uitterlinden, A. Hofman & A.R. Thurik (2011). Candidate gene studies and the quest for the entrepreneurial gene. Small Business Economics, 37 (3), 269-275. doi: http://dx.doi.org/10.1007/s11187-011-9339-2[go to publisher's site]
  • G.I. Nalbantov, P.H.B.F. Franses, P.J.F. Groenen & J.C. Bioch (2010). Estimating the Market Share Attraction Model using Support Vector Regressions. Econometric Reviews, 29 (5/6), 688-716. doi: http://dx.doi.org/10.1080/07474938.2010.481989[go to publisher's site]
  • I. Borg, P.J.F. Groenen, K.A. Jehn, W. Bilsky & S.H. Schwartz (2010). Embedding the organizational culture profile into Schwartz's theory of universals in values. Journal of Personnel Psychology, 10 (1), 1-12. doi: http://dx.doi.org/10.1027/1866-5888/a000028[go to publisher's site]
  • 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: http://dx.doi.org/10.1198/jcgs.2010.07134
  • J.M. van Rosmalen, A.J. Koning & P.J.F. Groenen (2010). Optimaal schalen van interactie-effecten. In A.E. Bronner et al., P. Dekker, E. de Leeuw, L.J. Paas, K. de Ruyter, A. Smidts & J.E. Wieringa (Eds.), Ontwikkelingen in het marktonderzoek: Jaarboek 2010 (pp. 177-193). Haarlem: Spaarenhout
  • J.M. van Rosmalen, H. van Herk & P.J.F. Groenen (2010). Identifying response styles: a latent-class bilinear multinomial logit model. Journal of Marketing Research, 47 (1), 157-172. doi: http://dx.doi.org/10.1509/jmkr.47.1.157[go to publisher's site]
  • M.J.H.M. van der Loos, P.D. Koellinger, P.J.F. Groenen & A.R. Thurik (2010). Genome-wide association studies and the genetics of entrepreneurship. European Journal of Epidemiology, 25 (1), 1-3. doi: http://dx.doi.org/10.1007/s10654-009-9418-8[go to publisher's site]
  • J.M. van Rosmalen, P.J.F. Groenen, J. Trejos & W. Castillo (2009). Optimization strategies for two-mode partitioning. Journal of Classification, 26 (2), 155-181. doi: http://dx.doi.org/10.1007/s00357-009-9031-2
  • 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, 3103-3106. doi: http://dx.doi.org/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: http://dx.doi.org/10.1016/j.csda.2008.08.020
  • J.M. van Rosmalen, A.J. Koning & P.J.F. Groenen (2009). Optimal scaling of interaction effects in generalized linear modelling. Multivariate Behavioral Research, 44 (1), 59-81. doi: http://dx.doi.org/10.1080/00273170802620048
  • P.J.F. Groenen & S. Winsberg (2008). 3WaySym-Scal: Three-way symbolic multidimensional scaling. In P. Brito, P. Betrand, G. Cucumel & F. de Carvalho (Eds.), Selected Contributions in Data Analysis and Classification (pp. 55-67). Berlin: Springer
  • M. Kagie, M.C. van Wezel & P.J.F. Groenen (2008). A graphical shopping interface based on product attributes. Decision Support Systems, 46 (1), 265-276. doi: http://dx.doi.org/10.1016/j.dss.2008.06.011[go to publisher's site]
  • M. Kagie, M.C. van Wezel & P.J.F. Groenen (2008). Choosing Attribute Weights for Item Dissimilarity using Clickstream Data with an Application to a Product Catalog Map. In Proceedings of the 2nd ACM International Conference on Recommender Systems (pp. 195-202). New York: ACM Press
  • M. Kagie, M.C. van Wezel & P.J.F. Groenen (2008). An Online Shopping Interface Based on a Joint Product and Attribute Category Map. In Proceedings of 1st IUI Workshop on Recommendation and Collaboration ReColl 2008
  • C. Heij, D.J.C. van Dijk & P.J.F. Groenen (2008). Macroeconomic forecasting with matched principal components. International Journal of Forecasting, 24 (1), 87-100. doi: http://dx.doi.org/10.1016/j.ijforecast.2007.08.005[go to publisher's site]
  • P.J.F. Groenen, A. Hofman, P.D. Koellinger, M.J.H.M. van der Loos, F. Rivadeneira, F.J.A. van Rooij, A.R. Thurik & A.G. Uitterlinden (2008). Genome-wide association for loci influencing entrepreneurial behavior: The Rotterdam Study. Behavior Genetics, 38, 628-629. doi: http://dx.doi.org/10.1007/s10519-008-9228-x
  • P.J.F. Groenen, G.I. Nalbantov & J.C. Bioch (2008). SVM-Maj: a majorization approach to linear support vector machines with different hinge errors. Advances in Data Analysis and Classification, 2 (1), 17-43. doi: http://dx.doi.org/10.1007/s11634-008-0020-9
  • P.J.F. Groenen, G.I. Nalbantov & J.C. Bioch (2007). Nonlinear support vector machines through iterative majorization and I-splines. In R. Decker & H-J. Lenz (Eds.), Advances in Data Analysis, Proceedings of the Geselschaft fur Klassification (pp. 149-162). Berlin: Springer
  • M. Linting, J.J. Meulman, P.J.F. Groenen & A.J. van der Kooij (2007). Stability of Nonlinear Principal Components Analysis: An Empirical Study Using the Balanced Bootstrap. Psychological Methods, 12 (3), 359-379. doi: http://dx.doi.org/10.1037/1082-989X.12.3.359
  • M. Linting, J.J. Meulman, P.J.F. Groenen & A.J. van der Kooij (2007). Nonlinear Principal Components Analysis: Introduction and Application. Psychological Methods, 12 (3), 336-358. doi: http://dx.doi.org/10.1037/1082-989X.12.3.336
  • C. Heij, P.J.F. Groenen & D.J.C. van Dijk (2007). Forecast comparison of principal component regression and principal covariate regression. Computational Statistics & Data Analysis, 51 (7), 3612-3625. doi: http://dx.doi.org/10.1016/j.csda.2006.10.019
  • M. Kagie, M.C. van Wezel & P.J.F. Groenen (2007). A graphical shopping interface based on product attributes. In M. Somereen, S. Katrenko & P. Adriaans (Eds.), Proceedings of Benelearn 2007 (pp. 45-52). Amsterdam/Netherlands
  • M. Kagie, M.C. van Wezel & P.J.F. Groenen (2007). Online shopping using a two dimensional product map. In G. Psaila & R. Wagner (Eds.), E-Commerce and Web Technologies Vol. 4655. Lecture Notes in Computer Science (pp. 89-98). Berlin: Springer
  • M. Kagie, P.J.F. Groenen & M.C. van Wezel (2007). A graphical shopping interface based on product characteristics. In V. Oria, A. Elmagarmid, F. Lochovsky & Y. Saygin (Eds.), Proceedings of the 23rd International Conference on Data Engineering Workshops (pp. 791-800). Los Alamitos, CA: IEEE Computer Society
  • J.F. Geweke, P.J.F. Groenen, R. Paap & H.K. van Dijk (2007). Computational techniques for applied econometric analysis of macroeconomic and financial processes. Computational Statistics & Data Analysis, 51 (7), 3506-3507. doi: http://dx.doi.org/10.1016/j.csda.2006.11.015
  • H.A.L. Kiers & P.J.F. Groenen (2006). Visualizing dependence of bootstrap confidence intervals for methods yielding spatial configurations. In S. Zani, A. Cerioli, M. Riani & M. Vichi (Eds.), Data analysis, classification and the forward search. (pp. 119-126). Berlin: Springer
  • P.J.F. Groenen, S. Winsberg, O. Rodriguez & E. Diday (2006). I-scal: multidimensional scaling of interval dissimilarities. Computational Statistics & Data Analysis, 51, 360-378. doi: http://dx.doi.org/10.1016/j.csda.2006.04.003
  • G.I. Nalbantov, J.C. Bioch & P.J.F. Groenen (2006). Classification with support hyperplanes. In J. Furnkranz, T. Scheffer & M. Spiliopoulou (Eds.), MACHINE LEARNING: ECML 2006, PROCEEDINGS Lecture Notes in Computer Science (pp. 703-710). Berlin/Heidelberg: Springer
  • P.J.F. Groenen & A.J. Koning (2006). A new model for visualizing interactions in analysis of variance. In M. Greenacre & J. Blasius (Eds.), Multiple correspondence analysis and related methods. (pp. 487-502). London: Chapman & Hall
  • G.I. Nalbantov, J.C. Bioch & P.J.F. Groenen (2006). Solving and interpreting binary classification problems in marketing with SVMs. In M. Spiliopoulou, R. Kruse, C. Borgelt, A. Nurnberger & W. Gaul (Eds.), From data and information analysis to knowledge engineering. (pp. 566-573)
  • P.J.F. Groenen & S. Winsburg (2006). Multidimensional scaling of histogram dissimilarities. In V. Batagelj, H.-H. Bock, A. Ferligoj & A. Ziberna (Eds.), Data science and classification (pp. 161-170). Berlin: Springer
  • P.H.B.F. Franses, P.J.F. Groenen & A.P.M. Wagelmans (2006). Editorial introduction, special issue: 50 years of Econometric Institute and 60 years of Statistica Neerlandica. Statistica Neerlandica, 60 (2), 79-79.
  • P.J.F. Groenen & A. van Ark (2006). Visions of 70 years of psychometrics: the past, present, and future. Statistica Neerlandica, 60 (2), 135-144. doi: http://dx.doi.org/10.1111/j.1467-9574.2006.00318.x
  • J.L. Barlow, P.J.F. Groenen, H. Park & H. Zha (2006). 2nd special issue on matrix computations and statistics. Computational Statistics & Data Analysis, 50 (1), 1-4. doi: http://dx.doi.org/10.1016/j.csda.2004.08.003
  • K. van Deun, P.J.F. Groenen, W.J. Heiser, F.M.T.A. Busing & L. Delbeke (2005). Interpreting degenerate solutions in unfolding by use of the vector model and the compensatory distance model. Psychometrika, 70 (1), 45-69. doi: http://dx.doi.org/10.1007/s11336-002-1046-0
  • K. van Deun & P.J.F. Groenen (2005). Majorization algorithms for inspecting circles, ellipses, squares, rectangles, and rhombi. Operations Research, 53 (6), 957-967. doi: http://dx.doi.org/10.1287/opre.1050.0253[go to publisher's site]
  • 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)
  • P.J.F. Groenen, P. Giaquinto & H.A.L. Kiers (2005). An improved majorization algorithm for robust procrustes analysis. In M. Vichi, P. Monari, S. Mignani & A. Montanari (Eds.), New Delelopments in Classification and Data Analysis New Developments in Classification and Data Analysis (pp. 151-158). Bologna: Springer-Verlag
  • F.M.T.A. Busing, P.J.F. Groenen & W.J. Heiser (2005). Avoiding degeneracy in multidimensional unfolding by penalizing on the coefficient of variation. Psychometrika, 70 (1), 71-98. doi: http://dx.doi.org/10.1007/s11336-001-0908-1
  • P.J.F. Groenen & J.J. Meulman (2004). A comparison of the ratio of variances in distance-based and classical multivariate analysis. Statistica Neerlandica, 58 (4), 428-439. doi: http://dx.doi.org/10.1111/j.1467-9574.2004.00269.x
  • P.J.F. Groenen & M. van de Velden (2004). Inverse correspondence analysis. Linear Algebra and its Applications, 388, 221-238. doi: http://dx.doi.org/10.1016/j.laa.2003.10.016
  • P.J.F. Groenen (2004). Visualisatie met dynamische meerdimensionele schaling. Ontwikkelingen in het Marktonderzoek / Jaarboek MOA, 2004, 183-195.
  • R. Pietersz & P.J.F. Groenen (2004). Rank reduction of correlation matrices by majorization. Quantitative Finance, 4 (6), 649-662. doi: http://dx.doi.org/10.1080/14697680400016182
  • M. van de Velden, P.J.F. Groenen & J. Poblome (2003). Seriation met bedingter Korrespondenzanalyse: Simulationsexperimente. Archaologische informationen, 26, 449-455.
  • J. Poblome & P.J.F. Groenen (2002). Constrained correspondence analysis for seriation of Sagalassos tablewares. In M. Doerr & A. Sarris (Eds.), Proceedings of the 30th Conference : Computer Applications and Quantitative Methods in Archaeology (pp. 90-97). Heraklion, Crete: CAA 2002
  • P.J.F. Groenen & K. Jajuga (2001). Fuzzy clustering with squared Minkowski distances. Fuzzy Sets & Systems, 120 (2), 227-237.
  • P.J.F. Groenen & J. Poblome (2001). Constrained correspondence analysis for seriation in archaeology applied to Sagalassos ceramic tablewares. In M. Schwaiger & O. Opitz (Eds.), Proceedings of the 25th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Munich, March 16-16, 2001 - Exploratory Data Analysis in Empirical Research (pp. 301-306). Berlin/ Heidelberg/ New York: Springer-Verlag
  • P.J.F. Groenen & P.H.B.F. Franses (2000). Visualizing time-varying correlations across stock market. Journal of Empirical Finance, 7 (2), 155-172. doi: http://dx.doi.org/10.1016/S0927-5398(00)00009-8
  • I. Borg, P.J.F. Groenen & P. Mair (2018). Applied Multidimensional Scaling and Unfolding. (SpringerBriefs in Statistics). Cham, Switzerland: Springer
  • I. Borg, P.J.F. Groenen & P. Mair (2013). Applied Multidimensional Scaling (SpringerBriefs in Statistics). Heidelberg: Springer
  • I. Borg, P.J.F. Groenen & P. Mair (2010). Multidimensionele Skaliering (Sozialwissenschaftliche Forschungsmethoden, Band 1). Muenchen: Rainer Hampp Verlag
  • I. Borg & P.J.F. Groenen (2005). Modern multidimensional scaling: Theory and applications (Springer Series in Statistics, 22). New York: Springer
  • P.J.F. Groenen & I. Borg (2015). Multidimensional Scaling II. In JD Wright (Ed.), International Encyclopedia of the Social & Behavioral Sciences (pp. 40-47). Oxford: Elsevier
  • P.J.F. Groenen, U. Kaymak & J.M. van Rosmalen (2007). Fuzzy clustering with Minkowski distance functions. In J Valente de Oliveira & W Pedrycz (Eds.), Advances in fuzzy clustering and its applications (pp. 53-68). Chicester: Wiley
  • P.J.F. Groenen & A.J. Koning (2005). Generalized bi-additive modelling for categorical data. In M. Vichi, P. Monari, S. Mignani & M. Montanari (Eds.), New development in classification and data analysis (pp. 159-166). Heidelberg: Springer
  • Role: Member Doctoral Committee
  • PhD Candidate: Nees Jan van Eck
  • Time frame: 2005 - 2011
  • Role: Promotor
  • PhD Candidate: Martijn Kagie
  • Time frame: 2006 - 2010
  • Role: Promotor
  • PhD Candidate: Georgi Nalbantov
  • Time frame: 2004 - 2008
  • Role: Promotor
  • PhD Candidate: Joost van Rosmalen
  • Time frame: 2004 - 2009
  • Role: Member Doctoral Committee
  • PhD Candidate: Martin Klein
  • Time frame: 2003 - 2008
  • Role: Member Doctoral Committee
  • PhD Candidate: Raoul Pietersz
  • Time frame: 2001 - 2005
  • Role: Member Doctoral Committee
  • PhD Candidate: Kar Yin Lam
  • Time frame: 2006 - 2011
  • Role: Promotor
  • PhD Candidate: Peter van der Zwan
  • Time frame: 2007 - 2011
  • Role: Member Doctoral Committee
  • PhD Candidate: Rui Jorge de Almeida e Santos Nogueira
  • Time frame: 2007 - 2014
  • Role: Co-promotor
  • PhD Candidate: Matthijs van der Loos
  • Time frame: 2008 - 2013
  • Role: Promotor
  • PhD Candidate: Pieter Schoonees
  • Time frame: 2011 - 2015
  • Role: Promotor
  • PhD Candidate: Nufer Ates
  • Time frame: 2009 - 2014
  • Role: Member Doctoral Committee
  • PhD Candidate: Alexander Hogenboom
  • Time frame: 2009 - 2015
  • Role: Promotor
  • PhD Candidate: Jeanine Porck
  • Time frame: 2009 - 2013
  • Role: Promotor
  • PhD Candidate: Murat Tarakci
  • Time frame: 2008 - 2013
  • Role: Member Doctoral Committee
  • PhD Candidate: Wim Rietdijk
  • Time frame: 2010 - 2016
  • Role: Promotor
  • PhD Candidate: Niels Rietveld
  • Time frame: 2010 - 2014
  • Role: Promotor
  • PhD Candidate: Aysu Okbay
  • Time frame: 2012 - 2017
  • Role: Promotor
  • PhD Candidate: Ronald de Vlaming
  • Time frame: 2013 - 2017
  • Role: Daily Supervisor, Promotor
  • PhD Candidate: Gertjan van den Burg
  • Time frame: 2012 - 2018
  • Role: Promotor
  • PhD Candidate: Indy Bernoster
  • Time frame: 2014 -
  • Role: Promotor
  • PhD Candidate: Yik Kiu (Plato) Leung
  • Time frame: 2015 -
  • Role: Promotor
  • PhD Candidate: Eric Slob
  • Time frame: 2016 -
  • Role: Promotor
  • PhD Candidate: Nienke Dijkstra
  • Time frame: 2017 -
  • Role: Promotor
  • PhD Candidate: Umut Cakmak
  • Time frame: 2018 -

Editorial positions (5)

  • Statistica Neerlandica

    Associate Editor

  • Psychometrika

    Associate Editor

  • Associate Editor

  • Advances in Data Analysis and Classification

    Associate Editor

  • Journal of Statistical Software

    Associate Editor

Past
  • Advanced Statistical Methods (2017/2018, 2016/2017)
  • Scientific Integrity (2017/2018, 2016/2017)
  • Statistical Methods (2017/2018, 2016/2017)

Rating-scale data are omnipresent in modern data collection, yet statistical methods typically do not take into account the peculiarities of such data. In addition, while the literature on robust (outlier-resistant) methods for continuous data is growing rapidly, such techniques are not suitable for rating-scale data due to their discrete nature and limited range. This project aims to fill those gaps in the statistical literature by developing robust methods for the analysis of rating-scale data.

Empirical research in the social sciences relies heavily on the statistical analysis of data measured on rating scales. Results of such research have a tremendous impact on society: for example, policy makers monitor opinions in society via rating-scale data collected in surveys, psychologists collect rating-scale data in experiments to gain new insights into human behavior, and companies let test groups rate various aspects of a new product before launching it.

Due to modern technology and the internet, data collection is easier than ever. As a result, data sets are growing ever larger but at the same time reliability of the data is decreasing with online data collection. Even though rating scales by definition have a limited range and thus do not exhibit extreme values, observations can still be outliers if they go against the correlation structure of the majority of the data. Such correlation outliers are likely to be present, especially in big data. Yet currently the literature on outliers in rating-scale data is very scarce.

The aim of this project is to develop outlier-resistant methods for the statistical analysis of rating-scale data, as well as to extract the relevant information from big (incomplete) rating-scale data.

Read more
2014
November
20
Research Seminar
As: Coordinator, Speaker
2014
November
04
Research Seminar
As: Speaker, Coordinator
2009
April
23
2009
April
21
2008
September
12
2007
June
25
Conference
As: Coordinator

Address

Visiting address

Office: Tinbergen Building H11-11
Burgemeester Oudlaan 50
3062 PA Rotterdam

Postal address

Postbus 1738
3000 DR Rotterdam
Netherlands