Highlights

• May 2020: I have the honour to serve as dean of Erasmus School of Economics. here.

• June 2018: the second edition of Applied Multidimensional Scaling (Borg, Groenen, Mair) is out. Apart from updating, we have put more emphasis on unfolding and provide examples and code in R. The accompanying file with R code is found here.

• From August 2015-2017, I was the president of the International Association for Statistical Computing.

• From September 1, 2014, to April 30, 2020, I was the director of the Econometric Institute.

• I spent a sabbatical at the Statistics Department of Stanford University (February-June, 2014).

• Nearly five years I had the pleasure of being the ERIM (Erasmus Research Institute of Management) Director of Doctoral Education. This has come to an end at February 1, 2014 (starting date was April 1, 2009). I want to thank the colleagues at the ERIM Office for their great support. It has been a privilege to support an entire generation of PhD students and Research Master students.

• Workshop 'Understanding Biplots' by Prof. Niel le Roux (Stellenbosch University, South Africa) held at 25-04-2012, Econometric Institute, Erasmus University Rotterdam. Download workshop material here.

• The first version of the SVMMaj package for doing support vector machines in R through the SVMMaj majorization algorithm has become available (Dec 2010).

• Our first book on MDS in German has appeared:
  Borg, I, Groenen, P.J.F. & Mair, P. (2010). Multidimensionele Skaliering (Sozialwissenschaftliche Forschungsmethoden, Band 1). Muenchen: Rainer Hampp Verlag.

• On September 12, 2008, we organize the workshop: Introduction and Developments on Support Vector Machines and Classification. This workshop brings together several leading researchers active this area in the Netherlands and two foreign guests, Sarel Steel (Stellenbosch University, South Africa) and Thorsten Joachims (Cornell University NY, USA). For more information can be found in the program.

• I hosted the CARME 2007conference in Rotterdam on Correspondence Analysis and Related Methods. For more information, look at the CARME 2007 website.

• Pictures available of the conferences 50 Years of Econometrics and The Future of Econometrics.

• The second edition of the MDS book: 
  Borg, I. and Groenen, P.J.F. (2005). Modern Multidimensional Scaling, 2nd edition. New York: Springer. 
  See also the home page of the book with lots of data sets.

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Personal Data

Full name:	Patrick J. F. Groenen
Titles:	Prof. dr.
Affiliation:	Econometric Institute, Faculty of Economics, Erasmus University Rotterdam
Address:	P.O. Box 1738, 3000 DR Rotterdam, The Netherlands
Room:	H11-11
Phone:	(+31) 10 - 408 1281
Email:	groenen@ese.eur.nl

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(Co-)Supervised PhD students

1. Gertjan van den Burg (2018): Algorithms for Multiclass Classification and Regularized Regression. Co-supervised with Andreas Alfons.

2. Aysu Okbay (2017): Essays on Genetics and the Social Sciences. Co-supervised with Philipp Koelinger and Roy Thurik.

3. Pieter Schoonees (2015): Methods for Modelling Response Styles. Co-supervised with Michel van de Velden.

4. Niels Rietveld (2014): Essays on the Intersection of Economics and Biology. Co-supervised with Roy Thurik, Philipp Koelinger, and Bert Hofman.

5. Karolina Sikorska(2014): Computationally Fast Approaches to Genome-Wide Association Studies. Co-supervised with Emanuelle Lesaffre, Andre Uitterlinde, and Fernando Revadeneira.

6. Danielle van Hout (2014): Measuring Meaningful Differences: Sensory testing based decision making in an industrial context; applications of signal detection theory and Thurstonian modelling. Co-supervised with Garmt Dijksterhuis.

7. Nufer Ates (2014): The Strategy Process: A Middle Management Perspective. Co-supervised with Daan van Knippenberg.

8. Jeanine Porck (2014): No Team is an Island: an Integrative View of Strategic Consensus between Groups. Co-supervised with Daan van Knippenberg.

9. Murat Tarakci (2013): Behavioral Strategy: Strategic Consensus, Power and Networks. Co-supervised with Daan van Knippenberg.

10. Matthijs van der Loos (2013): Molecular Genetics and Hormones: New Frontiers in Entrepreneurship Research. Co-supervised with Roy Thurik and Bert Hofman

11. Peter Exterkate (2011): Of Needles and Haystacks: Novel Techniques for Data-Rich Economic Forecasting. Co-supervised with Dick van Dijk and Christiaan Heij.

12. Martijn Kagie (2010): Advances in Online Shopping Interfaces: Product Catalog Maps and Recommender Systems.Co-supervised with Michiel van Wezel;

13. Joost van Rosmalen (2009): Segmentation and Dimension Reduction: Exploratory and Model-Based Approaches (Cum laude). Co-supervised with Alex Koning.

14. Georgi Nalbantov (2008): Essays on Some Recent Penalization Methods with Applications in Finance and Marketing. Co-supervised with Cor Bioch.

Research

My interest lies in data science, exploratory multivariate analysis, multidimensional scaling, visualization, and optimization.

Editorial activities

Editor

Founding editor of the open access journal: (Journal of Data Science, Statistics, and Visualisation, 2018-)

Associate editor for

• Advances in Data Analysis and Classification (ongoing)
• Journal of Statistical Software (2014-2015)
• Computational Statistics and Data Analysis (until April, 2009)
• Statistica Neerlandica (until 2015)
• Psychometrika (until 2015)

Publications

Books/Monographs:

1. Borg, I, Groenen, P.J.F. & Mair, P. (2018). Applied Multidimensional Scaling and Unfolding (SpringerBriefs in Statistics). Heidelberg: Springer. The accompanying file with R code is found here

2. Borg, I, Groenen, P.J.F. & Mair, P. (2013). Applied Multidimensional Scaling (SpringerBriefs in Statistics). Heidelberg: Springer.

3. Borg, I, Groenen, P.J.F. & Mair, P. (2010). Multidimensionele Skaliering (Sozialwissenschaftliche Forschungsmethoden, Band 1). München: Rainer Hampp Verlag.

4. Borg, I. & Groenen, P.J.F. (2005). Modern Multidimensional Scaling, 2nd edition. New York: Springer.

5. Groenen, P.J.F. (2003). Dynamische meerdimensionele schaling: Statistiek op de kaart. Inaugural address. Rotterdam: ERIM.

6. Borg, I. & Groenen, P.J.F. (1997). Modern multidimensional scaling: Theory and applications. New York: Springer.

7. Kiers, H.A.L., Rasson, J.-P., Groenen, P.J.F. & Schader, M. (Eds., 2000). Data analysis, classification, and related methods. Berlin: Springer.

8. Groenen, P.J.F. (1993). The majorization approach to multidimensional scaling: some problems and extensions. Leiden, The Netherlands: DSWO Press. pdf

 

Co-editor of special issues:

1. Blasius, J., Greenarcre, M., Groenen, P.J.F. & Velden, M. van de (2009). Special issue on correspondence analysis and related methods. Computational Statistics and Data Analysis, 53, 3103-3106.

2. Geweke, J, Groenen, P.J.F., Paap, R., & Van Dijk, H.K. (2007). Computational techniques for applied econometrics analysis of macroeconomic and financial processes. Computational Statistics and Data Analysis, 51, 3506-3507.

3. Barlow, J.L., Groenen, P.J.F., Park, H. Zha, H. (2006). 2nd Special issue on matrix computations and statistics. Computational Statistics and Data Analysis, 50, 1-4.

4. Franses, P.H., Groenen, P.J.F. & Wagelmans, A.P.M (2006). Editorial introduction, Special issue: 50 years of Econometric Institute and 60 years of Statistica Neerlandica. Statistica Neerlandica, 60, 79.

Journal Articles:

1. Ates, N.Y., Tarakci, M., Porck, J.P., van Knippenberg, D.L., & Groenen, P.J.F. (2019). Why Visionary Leadership Fails. Harvard Business Review. Retrieved: 01-03-2019.

2. Ates, N.Y., Tarakci, M., Porck, J.P., van Knippenberg, D.L., & Groenen, P.J.F. (2019, in press). The Dark Side of Visionary Leadership in Strategy Implementation: Strategic Alignment, Strategic Consensus and Commitment. Journal of Management, accepted, doi: 10.1177/0149206318811567O.

3. Porck, J.P., van Knippenberg, D.L., Tarakci, M. Ates, N.Y., Groenen, P.J.F., & de Haas, M. (2019, in press). Do Group and Organizational Identification Help or Hurt Intergroup Strategic Consensus? Journal of Management, doi: 10.1177/0149206318788434

4. van Herk, H., Schoonees, P. C., Groenen, P. J., & van Rosmalen, J. (2018). Competing for the same value segments? Insight into the volatile Dutch political landscape. PloS one, 13(1)

5. De Vlaming, R., Okbay, A., Rietveld, C.A., Johannesson, M., Magnusson, P.K., Uitterlinden, A.G., van Rooij, F.J., Hofman, A., Groenen, P.J.F., Thurik, A.R. and Koellinger, P.D. (2017). Meta-GWAS Accuracy and Power (MetaGAP) calculator shows that hiding heritability is partially due to imperfect genetic correlations across studies. PLoS genetics, 13(1)

6. Slob, E.A.W., Groenen, P.J.F., Thurik, A.R., & Rietveld, C.A. (2017). A note on the use of Egger regression in Mendelian randomization studies. Int J Epidemiol, 46(6), 2094-2097.

7. Tenenhaus, M., Tenenhaus, A., & Groenen, P.J.F. (2017). Regularized generalized canonical correlation analysis: a framework for sequential multiblock component methods. Psychometrika, 82 (3), 737-777

8. Van den Burg, G.J.J. & Groenen, P.J.F. (2016). GenSVM: A Generalized Multiclass Support Vector Machine. Journal of Machine Learning Research, 17 (225), 1-42.

9. Groenen, P.J.F. & Velden, M. van de (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

10. Okbay, A., Baselmans, B.M.L, De Neve, J.E., Turley, P, Nivard, MG, Fontana, M.A., Meddens, S.F.W., Linner, R.K., Rietveld, C.A., Derringer, J, Gratten, J, Lee, JJ, Liu, JZ, Vlaming, R. de, Lee, S.J. van der, Willems, SM, Amin, N., Direk, N., Duijn, C.M. van, Groenen, P.J.F., Thurik, A.R., Tiemeier, H.W., Uitterlinden, A.G., Hofman, A., Johannesson, M., Laibson, D.I., Medland, S., Meyer, MN, Pickrell, J.K., Esko, T, Krueger, RF, Beauchamp, J.P., Koellinger, P.D., Benjamin, D.J., Bartels, M, Cesarini, D.A. and SSGAC, The (2016). Genetic variants associated with subjective well-being, depressive symptoms and neuroticism identified through genome-wide analyses. Nature Genetics. doi: http://dx.doi.org/doi: 10.1038/ng.3552

11. Barban, N., 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: 10.1038/ng.3698 .

12. Okbay, A., Beauchamp, J.P., Fontana, M.A., Lee, JJ, Pers, TH, Rietveld, C.A., Turley, P, Chen, G-B, Emilsson, V, Meddens, S.F.W., Oskarsson, S, Pickrell, J.K., Thom, K, Timshel, P, Vlaming, R. de, Lee, S.J. van der, Amin, N., Rooij, F.J.A. van, Duijn, C.M. van, Groenen, P.J.F., Thurik, A.R., Tiemeier, H.W., Uitterlinden, A.G., Hofman, A., SSGAC, The, Yang, J., Johannesson, M., Visscher, P.M., Esko, T, Koellinger, P.D., Cesarini, D.A. and Benjamin, D.J. (2016). Genome-wide association study identifies 74 loci associated with educational attainment. Nature. doi: http://dx.doi.org/10.1038/nature17671

13. Exterkate, P., Groenen, P.J.F., Heij, C. and Dijk, D.J.C. van (2016). Nonlinear forecasting with many predictors using kernel ridge regression. International Journal of Forecasting, 32, 736-753. doi: http://dx.doi.org/10.1016/j.ijforecast.2015.11.017

14. Tarakci, M., Greer, L.L. and Groenen, P.J.F. (2016). When does power disparity help or hurt group performance? Journal of Applied Psychology, Accepted. doi: http://dx.doi.org/10.1037/apl0000056

15. Groenen, P.J.F., Le Roux, N.J., and Gardner-Lubbe, S. (2015). Spline-based nonlinear biplots. Advances in Data Analysis and Classification, 9, 219-238. doi: 10.1007/s11634-014-0179-1

16. Doering, A.K., Schwartz, S.H., Cieciuch, J., Groenen, P.J.F., Glatzel, V., Harasimczuk, J., Janowicz, N., Nyagolova, M., Scheefer, E.R., Allritz, M., Milfont, T.C. & Bilsky, W. (2015). Cross-cultural evidence of value structures and priorities in childhood. British Journal of Psychology. doi: 10.1111/bjop.12116

17. Ronald de Vlaming and Patrick J.F. Groenen (in press). The Current and Future Use of Ridge Regression for Prediction in Quantitative Genetics. Biomed Research International.

18. Gower, J., Groenen, P.J.F., Van de Velden, M., Vines, K. (2014). Better perceptual maps: Introducing explanatory icons to facilitate interpretation, Food Quality and Preference, doi: http://dx.doi.org/10.1016/j.foodqual.2014.01.004

19. Tarakci, M., Ates, N.Y., Porck, J.P., van Knippenberg, D., Groenen, P.J.F. & Haas, M. de (2014). Strategic Consensus Mapping: A New Method for Testing and Visualizing Strategic Consensus Within and Between Teams. Strategic Management Journal.

20. Cecere, S, Groenen, P.J.F. & Lesaffre, E.M.E.H. (2013). The Interval-Censored Biplot. Journal of Computational and Graphical Statistics, 22(1), 123-134.

21. Exterkate, P., Dijk, D.J.C. van, Heij, C. & Groenen, P.J.F. (2013). Forecasting the yield curve in a data-rich environment using the factor-augmented Nelson-Siegel model. Journal of Forecasting, 32, 193-214.

22. Loos, M.J.H.M. van der, Rietveld, C.A., Eklund, N, Koellinger, P.D., Rivadeneira Ramirez, F., Abecasis, GR, Ankra-Badu, GA, Baumeister, SE, Benjamin, D.J., Biffar, R, Blankenberg, S, Boomsma, D.I., Cesarini, D., Cucca, F, Geus, E.J.C. de, Dedoussis, G, Deloukas, P, Dimitriou, M, Eiriksdottir, G, Eriksson, J, Gieger, C, Gudnason, V, Hohne, B, Holle, R, Hottenga, J.J., Isaacs, A, Jarvelin, MR, Johannesson, M, Kaakinen, M, Kahonen, M, Kanoni, S, Laaksonen, MA, Lahti, J, Launer, L.J., Lehtimaki, T, Loitfelder, M, Magnusson, PKE, Naitza, S, Oostra, B.A., Perola, M, Petrovic, K, Quaye, L, Raitakari, O, Ripatti, S, Scheet, P, Schlessinger, D, Schmidt, CO, Schmidt, H., Schmidt, R., Senft, A., Smith, AV, Spector, T.D., Surakka, I, Svento, R, Terracciano, A, Tikkanen, E, Duijn, C.M. van, Viikari, J, Volzke, H, Wichmann, HE, Wild, PS, Willems, S.M., Willemsen, G, Rooij, F.J.A. van, Groenen, P.J.F., Uitterlinden, A.G., Hofman, A. & Thurik, A.R. (2013). The Molecular Genetic Architecture of Self-Employment. PLoS One, 8(4).

23. Loos, M.J.H.M. van der, Haring, R, Rietveld, C.A., Baumeister, SE, Groenen, P.J.F., Hofman, A., Jong, F.H. de, Koellinger, P.D., Kohlmann, T., Nauck, M.A., Rivadeneira Ramirez, F., Uitterlinden, A.G., Rooij, F.J.A. van, Wallaschofski, H. & Thurik, A.R. (2013). S erum testosterone levels in males are not associated with entrepreneurial behavior in two independent observational studies. Physiology and Behavior, 119, 110-114.

24. Rietveld, C.A., Medland, SE, Derringer, J, Yang, J., Esko, T, Martin, N.W., Westra, HJ, Shakhbazov, K, Abdellaoui, A, Agrawal, A., Albrecht, E, Alizadeh, B.Z., Amin, N., Barnard, J, Baumeister, SE, Benke, KS, Bielak, LF, Boatman, JA, Boyle, PA, Davies, G., Leeuw, C. de, Eklund, N, Evans, DS, Fehrmann, R, Fischer, K., Gieger, C, Gjessing, HK, Hägg, S, Harris, JR, Hayward, C, Holzapfel, C, Ibrahim-Verbaas, CA, Ingelsson, E, Jacobsson, B, Joshi, PK, Jugessur, A, Kaakinen, M, Kanoni, S, Karjalainen, J, Kolcic, I, Kristiansson, K, Kutalik, Z, Lahti, J, Lee, SH, Lin, P, Lind, PA, Liu, Y., Lohman, K, Loitfelder, M, McMahon, G, Marques Vidal, P, Meirelles, O, Milani, L, Myhre, R, Nuotio, ML, Oldmeadow, CJ, Petrovic, KE, Peyrot, WJ, Polasek, O, Quaye, L, Reinmaa, E, Rice, JP, Rizzi, TS, Schmidt, H., Schmidt, R., Smith, AV, Smith, JA, Tanaka, T, Terracciano, A, Loos, M.J.H.M. van der, Vitart, V, Völzke, H, Wellmann, J, Yu, L, Zhao, W, Allik, J, Attia, JR, Bandinelli, S, Bastardot, F, Beauchamp, J., Bennett, DA, Berger, K., Bierut, L, Boomsma, D.I., Bültmann, U, Campbell, H, Chabris, C.F., Cherkas, L, Chung, MK, Cucca, F, Andrade, M de, Jager, PL De, De Neve, J.E., Deary, IJ, Dedoussis, GV, Deloukas, P, Dimitriou, M, Eiriksdottir, G, Elderson, MF, Eriksson, JG, Evans, DM, Faul, JD, Ferrucci, L, Garcia, ME, Grönberg, H, Gudnason, V, Hall, P., Harris, JM, Harris, T.B., Hastie, ND, Heath, AC, Hernandez, DG, Hoffmann, W., Hofman, W.H.A., Holle, R, Holliday, EG, Hottenga, J.J., Iacono, WG, Illig, T, Järvelin, MR, Kähönen, M, Kaprio, J, Kirkpatrick, RM, Kowgier, M, Latvala, A, Launer, L.J., Lawlor, DA, Lehtimäki, T, Li, J., Lichtenstein, P., Lichtner, P, Liewald, DC, Madden, PA, Magnusson, PKE, Mäkinen, TE, Masala, M, McGue, M, Metspalu, A, Mielck, A., Miller, MB, Montgomery, GW, Mukherjee, S., Nyholt, DR, Oostra, B.A., Palmer, LJ, Palotie, A, Penninx, BWJH, Perola, M, Peyser, PA, Preisig, M, Räikkönen, K, Raitakari, OT, Realo, A, Ring, SM, Ripatti, S, Rivadeneira, F., Rudan, I, Rustichini, A, Salomaa, V, Sarin, AP, Schlessinger, D, Scott, R.J., Snieder, H, St Pourcain, B, Starr, JM, Sul, JH, Surakka, I, Svento, R, Teumer, A, Lifelines Cohort Study, THE, Tiemeier, H., Rooij, F.J.A. van, Van Wagoner, DR, Vartiainen, E, Viikari, J, Vollenweider, P, Vonk, JM, Waeber, G, Weir, DR, Wichmann, H-E., Widen, E, Willemsen, G, Wilson, JF, Wright, AF, Conley, D., Davey-Smith, G, Franke, L, Groenen, P.J.F., Hofman, A., Johannesson, M, Kardia, SLR, Krueger, RF, Laibson, D., Martin, NG, Meyer, MN, Posthuma, D, Thurik, A.R., Timpson, NJ, Uitterlinden, A.G., Duijn, C.M. van, Visscher, P.M., Benjamin, D.J., Cesarini, D. & Koellinger, P.D. (2013). GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science, 240(6139), 1467-1471.

25. Sikorska, K., Rivadeneira, F., Groenen, P.J.F., Hofman, A., Uitterlinden, A.G., Eilers, P.H.C. & Lesaffre, E. (2013). Fast linear mixed model computations for genome-wide association studies with longitudinal data. Statistics in Medicine, 32(1), 165-180.

26. Velden, M. van de, Beuckelaer, A. de, Groenen, P.J.F. & Busing, F.M.T.A. (2013). Solving degeneracy and stability in nonmetric unfolding. Food Quality and Preference, 27(1), 85-95.

27. Cecere, S., Leroy, R., Groenen, P.J.F., Lesaffre, E., Declerck, D. (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: 10.1111/j.1600-0528.2011.00666.x

28. Beauchamp, J., Cesarini, D., Johannesson, M., Van der Loos, M., Koellinger, P., Groenen, P.J.F., Fowler, J., Rosenquista, N, Thurik, R., & Christakis, N. (2011). Molecular genetics and economics, Journal of Economic Perspectives, 25(4), 1-27.

29. Borg, I. Groenen, P.J.F., Jehn, K.A., Bilsky, W., Schwartz, S.H. (2011). Embedding the organizational culture profile into Schwartz's theory of universals in values. Journal of Personnel Psychology,(1), 1-12. (Also appeared as: ERIM report series research No ERS-2009-017-MKT.)

30. Heij, C., Dijk, D.J.C. van & Groenen, P.J.F. (2011). Forecasting with leading indicators by means of the principal covariate index. Journal of Business Cycle Measurement and Analysis, 4(1), 73-92.

31. Heij, C., Dijk, D.J.C. van & Groenen, P.J.F. (2011). Real-time macroeconomic forecasting with leading indicators: An empirical comparison. International Journal of Forecasting, 27(2), 466-481.

32. Van der Loos, M., Koellinger, P., Groenen, P.J.F., Rietveld, C., Rivadeneira, F., Van Rooij, F., Uitterlinden, A., Hofman, A. & Thurik, R. (2011). Candidate gene studies and the quest for the entrepreneurial gene, Small Business Economics, 37(3), 269-275, 2011.

33. Van der Loos, M.J.H.M., Groenen, P.J.F., Hofman, A., Koellinger, P.D., Rivadeneira, F., Rooij, F.J.A. van, Thurik, A.R. & Uitterlinden, A.G. (2011). De genetica van ondernemerschap. Economisch-Statistische Berichten, 96(4609s), 30-36.

34. Koellinger, P.D., Loos, M.J.H.M. van der, Groenen, P.J.F., Thurik, A.R., Rivadeneira, F., Rooij, F.J.A. van, Uitterlinden, A.G. & Hofman, A. (2010). Genome-wide assocation studies in economics and entrepreneurship research: promises and limitations. Small Business Economics, 35, 1-18.

35. Loos, M.J.H.M. van der, Koellinger, P.D., Groenen, P.J.F. & Thurik, A.R. (2010). Genome-wide association studies and the genetics of entrepreneurship. European Journal of Epidemiology, 25, 1-3.

36. Nalbantov, G.I. , Franses, P.H., Groenen, P.J.F. and Bioch, J.C.(2010). Estimating the Market Share Attraction Model using Support Vector Regressions, Econometric Reviews, 29, 688-716. (Also appeared as Econometric Institute Research Series: EI 2007-06)

37. Rosmalen, J.M. van, Herk, Hester van & Groenen, P.J.F. (2010). Identifying response styles: a latent-class bilinear multinomial logit model. Journal of Marketing Research, 47, 157-172.

38. Gower, J.C., Groenen, P. J. F. & Van de Velden, M. (2010). Area biplots. Journal of Computational and Graphical Statistics, 19, 46-61.

39. Van Rosmalen, J.M., Groenen, P.J.F., Trejos, J., Castillo, W. (2009). Optimization strategies for two-mode partitioning. Journal of Classification, 26, 155-181.

40. Van Rosmalen, J.M., Koning, A.J., Groenen, P.J.F. (2009). Optimal scaling of interaction effects in generalized linear modelling. Multivariate Behavioral Research, 44, 59-81.

41. Van de Velden, M. , Groenen, P.J.F., Poblome, J. (2009). Seriation by constrained correspondence analysis: A simulation study. Computational Statistics and Data Analysis, 53, 3129-3138.

42. Groenen, P.J.F., Nalbantov, G., Bioch, J.C. (2008). SVM-Maj: a majorization approach to linear support vector machines with different hinge errors. Advances in Data Analysis and Classification, 2, 17-43. DOI: 10.1007/s11634-008-0020-9 (Appeared also as Econometric Institute Report EI 2007-49)

43. Heij, C., Van Dijk, D.J.C., Groenen, P.J.F. (2008). Macroeconomic forecasting with matched principal components. International Journal of Forecasting, 24, 87-100.

44. Kagie, M.,  Van Wezel, M.C., Groenen, P.J.F. (2008). A graphical shopping interface based on product attributes. Decision Support Systems, 46, 265-276.

45. Linting, M.; Meulman, J.J., Groenen, P.J.F., Van der Koojj, A.J. (2007). Nonlinear principal components analysis: Introduction and application. Psychological Methods, 12, 336-358.

46. Linting, M.; Meulman, J.J., Groenen, P.J.F., Van der Koojj, A.J. (2007). Stability of nonlinear principal components analysis: An empirical study using the balanced bootstrap. Psychological Methods, 12, 359-379.

47. Heij, C., Groenen, P.J.F., & van Dijk, D.J. (2007). Forecast comparison of principal component regression and principal covariate regression. Computational Statistics and Data Analysis, 51, 3612-3625. (Appeared also as Econometric Institute Report EI 2005-28).

48. Groenen, P.J.F. & Van Ark, A. (2006). Visions of 70 years psychometrics, the past, present, and future. Statistica Neerlandica, 60, 135-144.

49. Groenen, P.J.F., Winsberg, S., Rodriguez, O., Diday, E. (2006). I-Scal: Multidimensional scaling of interval dissimilarities. Computational Statistics and Data Analysis, 51, 360-378. (Appeared also as Econometric Institute Report EI 2005-15.)

50. Van Deun, K., Groenen, P. J. F., Heiser, W. J., Busing, F. M. T. A., & Delbeke, L. (2005). Interpreting degenerate solutions in unfolding by use of the vector model and the compensatory distance model. Psychometrika, 70, 45-69.

51. Busing, F. M. T. A., Groenen, P. J. F., & Heiser, W. J. (2005). Avoiding degeneracy in multidimensional unfolding by penalizing on the coefficient of variation. Psychometrika, 70, 71-98.

52. Van Deun, K. & Groenen, P.J.F. (2005). Majorization algorithms for inspecting circles, ellipses, squares, rectangles, and rhombi. Operations Research, 53, 957-967. EI 2003-35.(Appeared also as Econometric Institute Report EI 2003-35).

53. Van de Velden, M., Groenen, P.J.F., & Poblome, J. (2004). Seriation mit bedingter Korrespondenzanalyse: Simulationsexperimente. Archäologische Informationen, 26, 449-455.

54. Groenen, P.J.F. & Van der Velde, M. (2004). Inverse correspondence analysis. Linear Algebra and its Applications, 388, 221-238. (Also appeared as Econometric Institute Report EI 2002-31.)

55. Groenen, P.J.F. & Meulman, J.J. (2004). A comparison of the ratio of variances in distance-based and classicial multivariate analysis. Statistica Neerlandica, 58, 428-439.

56. Pietersz, R. & Groenen, P.J.F. (2004). Rank reduction of correlation matrices by majorization. Quantitative Finance, 4, 649-662. (Appeared as Econometric Institute Report, EI 2004-11).

57. Groenen, P.J.F. & Jajuga, K. (2001). Fuzzy clustering with squared Minkowski distances. Fuzzy Sets and Systems, 120, 227-237.

58. Groenen, P.J.F. & Heiser, W.J. (2000). Iterative majorization algorithms in statistical computing. Discussion of: K. Lange, D.R. Hunter & I. Yang, Optimization transfer using surrogate objective functions. Journal of Computational and Graphical Statistics, 9, 44-48.

59. Groenen, P.J.F. & Franses, P.H. (2000). Visualizing time-varying correlations across stock markets. Journal of Empirical Finance, 7, 155-172.

60. Groenen, P.J.F., Van Os, B.-J., & Meulman, J.J. (2000). Optimal scaling by alternating length-constrained nonnegative least squares: An application to distance based principal components analysis. Psychometrika, 65, 511-524. 

61. Commandeur, J.J.F., Groenen, P.J.F., & Meulman, J.J. (1999). A distance-based variety of nonlinear multivariate data analysis, including weights for object and variables. Psychometrika,64,169-186. 

62. Groenen, P.J.F., Heiser W.J., & Meulman, J.J. (1999). Global optimization in least-squares multidimensional scaling by distance smoothing. Journal of Classification, 16, 225-254

63. Groenen, P.J.F., Commandeur, J.J.F., & Meulman, J.J. (1998). Distance analysis of categorical variables for large data sets using object weights. British Journal of Mathematical and Statistical Psychology, 51, 217-232.

64. Heiser, W.J. & Groenen, P.J.F. (1997). Cluster differences scaling with a within-cluster loss component and a fuzzy successive approximation strategy to avoid local minima. Psychometrika, 62, 63-83. 

65. De Leeuw, J. & Groenen, P.J.F. (1997). Inverse multidimensional scaling. Journal of Classification, 14, 3-21.

66. Kiers, H.A.L. & Groenen, P.J.F. (1996). A monotonically convergent algorithm for orthogonal congruence rotation. Psychometrika, 61, 375-389. 

67. Groenen, P.J.F. & Heiser, W.J. (1996). The tunneling method for global optimization in multidimensional scaling. Psychometrika, 61, 529-550. 

68. Groenen, P.J.F., Mathar, R., & Heiser, W.J. (1995). The majorization approach to multidimensional scaling for Minkowski distances. Journal of Classification, 12, 3?19.

69. Gower, J.C. & Groenen, P.J.F. (1991). Applications of the modified Leverrier-Faddeev algorithm for the construction of explicit matrix spectral decompositions and inverses. Utilitas Mathematica, 40, 51-64.

 

Chapters in books/papers in edited volumes:

1. Groenen, P.J.F., Borg, I., 2015. Multidimensional Scaling II. In: James D. Wright (editor-in-chief), International Encyclopedia of the Social & Behavioral Sciences, 2nd edition, Vol 16. Oxford: Elsevier. pp. 40-47.

2. Herk, Hester van, Groenen, P.J.F. & Rosmalen, J.M. van (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. 

3. Nalbantov, G.I., Groenen, P.J.F. & Smirnov, E. (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.

4. Rosmalen, J.M. van, Koning, A.J. & Groenen, P.J.F. (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.

5. Kagie, M., Van Wezel, M.C., & Groenen, P.J.F. (2007). A graphical shopping interface based on product characteristics. Proceedings of Benelearn, pp. 45-52.

6. Kagie, M., Groenen, P.J.F., & Van Wezel, M.C., (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 Enginering Workshops Proceedings of the IEEE, pp. 791-800. Istanbul, Turkey. (Also appeared as Econometric Institute Report EI 2007-02).

7. Kagie, M., Van Wezel, M.C., & Groenen, P.J.F. (2007). Online shopping using a two dimensional product map. In: G Psaila, R Wagner (Eds.), Proceedings. Lecture Notes in Computer Science, pp. 89-98. Istanbul, Turkey.

8. Groenen, P.J.F., Kaymak, U. & Van Rosmalen, J. (2007). Fuzzy clustering with Minkowski distance functions. In: J. Valente de Oliveira and W. Pedrycz (Eds.), Advances in fuzzy clustering and its applications (pp. 53-68). Chichester, Wiley. (Appeared also as Econometric Institute Report EI 2006-24).

9. Groenen, P.J.F., Nalbantov, G. & Bioch, J.C. (2007). Nonlinear support vector machines through iterative majorization and I-splines. In: R.Decker, H-.J. Lenz (Eds.), Advances in data analysis (pp. 149-162). Berlin: Springer. (Appeared also as Econometric Institute Report EI 2006-25)

10. Groenen, P.J.F. & Winsburg, S. (2006). Multidimensional scaling of histogram dissimilarities. In: V. Batagelj, H.-H. Bock, A. Ferligoj, A. Žiberna (Eds.), Data science and classification, pp. 161-170. Berlin, Springer.

11. Kiers, H.A.L. & Groenen, P.J.F. (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.

12. Groenen, P.J.F. & Koning, A. (2006). A new model for visualizing interactions in analysis of variance. In: M. Greenacre and J. Blasius (Eds.), Multiple correspondence analysis and related methods, pp, 487-502. London, Chapman & Hall. (Appeared also as Econometric Institute Report EI 2004-06.

13. Nalbantov, G.I., Bioch, J.C. & Groenen, P.J.F. (2006). Classification with support hyperplanes. In J. Furnkranz, T. Scheffer & M. Spiliopoulou (Eds.), Lecture Notes in Computer Sciences (pp. 703-710). Berlin/Heidelberg: Springer.

14. Nalbantov, G., Bioch, J.C., & Groenen, P.J.F. (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 (Appeared also as Econometric Institute Report EI 2005-46).

15. Groenen, P.J.F. & Van de Velden, M. (2005). Multidimensional Scaling. In Brian S. Everitt and David C. Howell (eds). Encyclopedia of Statistics in Behavioral Science, Volume II, (pp. 1280-1289), Chichester, Wiley. (Appeared also as Econometric Institute Report EI 2004-15).

16. Groenen, P.J.F. & Koning, A. (2005). Generalized b-additive modelling for categorical data. In: M. Vichi, P. Monari, S. Mignani and A. Montanari (Eds.), New developments in classification and data analysis, pp 159-166, Heidelberg: Springer.

17. Groenen, P.J.F., Giaquinto, P, & Kiers, H.A.L. (2005). An improved majorization algorithm for robust Procrustes analysis. In: M. Vichi, P. Monari, S. Mignani and A. Montanari (Eds.), New developments in classification and data analysis, pp 151-158, Heidelberg: Springer.

18. Groenen, P.J.F. (2004). Visualisatie met dynamische meerdimensionele schaling. In: A.E. Bronner (Ed.), Ontwikkelingen in het marktonderzoek, Jaarboek 2004, MarktOnderzoekAssociatie, pp. 183-196.

19. Groenen, P.J.F. & Poblome, J. (2003). Constrained correspondence analysis for seriation in archaeology applied to Sagalassos ceramic tablewares. In: Exploratory Data Analysis in Empirical Research, Proceedings of the 25th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Munich, March 14-16, 2001, pp. 90-97. Heidelberg: Springer.

20. Poblome, J. & Groenen, P.J.F. (2003). Constrained Correspondence Analysis for Seriation of Sagalassos tablewares. In: M. Doerr and A. Sarris (Eds.), Computer Applications and Quantitative Methods in Archaeology, Proceedings of the 30^th Conference, Heraklion, Crete, April 2002, pp. 301-306. Hellinic Ministry of Culture.

21. Van der Lans, I.A., Groenen, P.J.F. & Pennings, J.M.E. (2001). Multiple scaling with multiple axial partitioning constraints: With an application to financial product development. Proceedings, 2001 Marketing Science Conference, July 5-8, 2001, pp. 236-237 (Wiesbaden, Germany: Johannes Gutenberg-University of Mainz, 2001).

22. Stappers, P.J., Pasman, G., Groenen P.J.F. (2000). Exploring databases for taste or inspiration with interactive multi-dimensional scaling. In Proceedings IEA 2000 / HFES 2000, Ergonomics for the new Millennium (pp. 3-575 - 3-578) on CD-ROM. Santa Monica CA: The Human Factors Society of the USA.

23. Groenen, P.J.F., Mathar, R. & Trejos, J. (2000). Global optimization methods for multidimensional scaling applied to mobile communication. In: W. Gaul, O. Opitz & M. Schader (Eds.), Data Analysis, pp. 459-469. Heidelberg: Springer.

24. Groenen, P.J.F., Heiser W.J., & Meulman, J.J. (1998). City-block scaling: Smoothing strategies for avoiding local minima. In: I. Balderjahn, R. Mathar, & M. Schader (Eds.), Data highways and information flooding, a challenge for classification and data analysis, pp. 46-53. Heidelberg: Springer. 

25. Borg, I. & Groenen, P.J.F. (1998). Regional interpretations in MDS. In: J. Blasius & M. Greenacre (Eds.), Vizualization of categorical data, pp. 347-364. San Diego: Academic Press.

26. Van Poppel, F., Post, W. & Groenen, P.J.F. (1997). Age preferences of spouses, the Netherlands 1850-1993: An application of correspondence analysis. In: H. van den Brekel and F. Deven (Eds.), Population and family in the low countries 1996/1997, pp.191-218. The Hague: NIDI CBGS Publications.

27. Borg, I. & Groenen, P.J.F. (1997). Multitrait-multimethod by multidimensional scaling. In: F. Faulbaum & W. Bandilla (Eds.), SoftStat '97, pp. 59-66. Stuttgart: Lucius. 

28. Groenen, P.J.F., Commandeur, J.J.F. & Meulman, J.J. (1997). PIONEER: A program for distance-based multivariate analysis. In: F. Faulbaum & W. Bandilla (Eds.), SoftStat '97, pp. 83-90. Stuttgart: Lucius. 

29. Groenen, P.J.F. & Borg, I. (1996). Programs for multidimensional scaling: a comparison. In: F. Faulbaum & W. Bandilla (Eds.), SoftStat '95: Advances in Statistical Software, pp. 47-56. Stuttgart: Gustav Fischer. 

30. Borg, I. & Groenen, P.J.F. (1996). Asymmetries in multidimensional scaling. In: F. Faulbaum & W. Bandilla (Eds.), SoftStat '95: Advances in Statistical Software, pp. 31-35. Stuttgart: Gustav Fischer. 

31. Groenen, P.J.F., Mathar, R., & De Leeuw, J. (1996). Least squares multidimensional scaling with transformed distances. In: W. Gaul & D. Pfeifer (Eds.), Studies in classification, data analysis, and knowledge organization, pp. 177-185. Berlin: Springer. 

32. Groenen, P.J.F. (1993). A comparison of two methods for global optimization in multidimensional scaling. In: O. Opitz, B. Lausen and R. Klar (Eds.), Information and classification: concepts, methods and applications, pp. 145-155. Heidelberg: Springer-Verlag. 

33. Groenen, P.J.F. (1993). An application of the modified Leverrier-Faddeev algorithm for partitioned block designs in multidimensional scaling. In: R. Steyer, K.F. Wender and K.F. Widaman (Eds.), Psychometric Methodology, Proceedings of the 7th European Meeting of the Psychometric Society in Trier, pp. 151-156. Stuttgart: Gustav Fischer Verlag. 

34. Mathar, R. & Groenen, P.J.F. (1991). Algorithms in convex analysis applied to multidimensional scaling. In: E. Diday and Y. Lechevallier (Eds.), Data analysis, symbolic and numeric learning, pp. 45-56. New York: Nova Science Publishers.

35. Groenen, P.J.F. & Van der Heijden, P.G.M. (1989). Analyzing asymmetry of two-wave two-variable panel data with generalized correspondence analysis and loglinear models. In: E. Diday (Ed.), Data analysis, learning symbolic and numeric knowledge, pp. 31-38. New York: Nova Science Publishers.

 

Book reviews:

1. Groenen, P.J.F. (2000). Review of: Clausen (1998), Applied correspondence analysis: An introduction. Contemporary Psychology, 45, 327-328.

2. Markus, M.Th. & Groenen, P.J.F. (1998). Book review of: Efron and Tibshirani (1993), An introduction to the bootstrap. Psychometrika, 63, 97-101. 

 

Selected Research Reports (not yet published as articles):

1. Alfons, A., Ates, N., & Groenen, P. J. F. (2018). A Robust Bootstrap Test for Mediation Analysis. ERIM Report Series Research in Management, hdl.handle.net/1765/109594.

2. Song, Y., Westerhuis, J. A., Aben, N., Wessels, L. F., Groenen, P. J., & Smilde, A. K. (2018). Generalized simultaneous component analysis of binary and quantitative data. arXiv preprint, arXiv:1807.04982.

3. Van den Burg, G. J., Groenen, P. J. F., & Alfons, A. (2017). SparseStep: Approximating the Counting Norm for Sparse Regularization.. arXiv preprint, arXiv:1701.06967.

4. Groenen, P. J. F., & Josse, J. (2016). Multinomial multiple correspondence analysis. arXiv preprint, arXiv:1603.03174.

5. Groenen, P.J.F., Van der Lans, I. (2006). Multidimensional scaling with regional restrictions for facet theory: An application to Levi's political protest data. ERIM Report Series Research in Management, ERS-2006-057-MKT.

6. Schoonees, P.C., Groenen, P.J.F. & Velden, M. van de (2015). Least-squares Bilinear Clustering of Three-way Data. (Internal report, EI report series, no 2014-23.). Rotterdam: Econometric Institute.

7. Terada, Y. & Groenen, P.J.F. (2015). Symbolic Multidimensional Scaling. (Internal report, EI report series, no 2015-15.). Rotterdam: Econometric Institute.

8. Nalbantov, G., Bioch, J.C., & Groenen, P.J.F., (2006). Classification with support hyperplanes. Econometric Institute Report EI 2006-42.

9. Van Deun, K., Groenen, P.J.F., Delbeke, L. (2005). VIPSCAL: A combined vector ideal point model for preference data. 28 pp. Econometric Institute Report EI 2005-03.

10. Nalbantov, G., Bioch, J.C., & Groenen, P.J.F. (2005). Solving and interpreting binary classification problems in marketing with SVMs. Econometric Institute Report EI 2005-46.

11. Groenen, P.J.F. & van de Velden, M. (2004). Multidimensional Scaling. 14 pp. Econometric Institute Report EI 2004-15.

12. Groenen, P.J.F., Giaquinto, P. & Kiers, H.A.L (2003). Weighted majorization algorithms for weighted least squares decomposition models. Econometric Institute Report EI 2003-09.

 

Software:

• GenSVM: An efficient multiclass support vector machine for multiclass classification. This accompanies the paper of Van den Burg & Groenen (2016). The R-package can be found at https://cran.r-project.org/web/packages/gensvm/ and the PyPi package for python at https://pypi.org/project/gensvm/ (Last update: 2019).

• SMACOF: An extensive R-package for multidimensional scaling (https://cran.r-project.org/web/packages/smacof. Can be used together with the Borg, Groenen, & Mair (2018) book (Applied Multidimensional Scaling and Unfolding). (Last update: 2019)

• SVMMaj: An R package for binary support vector machines (SVM)(https://cran.r-project.org/web/packages/SVMMaj. Special options include nonlinear SVM through splines and alternative quadratic and Huber hinge functions (Last update: 2018).

• Smooth 4.0 for multidimensional scaling using the distance smoothing algorithm to avoid local minima. Simple software without any graphical interface.

• Optimal Scaling of Interactions  model for Generalized Linear Models (OSI-GLM): This MatLab software package estimates the parameters of and presents the estimation results. For an overview of the OSI model, see Van Rosmalen, Koning, & Groenen, Multivariate Behavioral Research (in press). (Date: July 20, 2008)

• Optimization strategies for two-mode partitioning: This MatLab software package compares various computational methods for two-mode partitioning, see Van Rosmalen en Groenen, Journal of Classification (in press). Code for Alternating Exchanges, Two-mode k-means, Fuzzy two-mode clustering, Fuzzy two-mode c-means algorithm, Tabu search, Simulated Annealing (Date: Sept 4, 2008)

• Interactive Multidimensional Scaling (iMDS) v0.1: A standalone Windows application (XP, Vista) that allows dynamic form multidimensional scaling. Some features are:
  • dragging points in the MDS plane,
  • allowing various transformations (interval, ordinal, monotone spline),
  • Shepard plot with brushing to identify pairs of points in the MDS plot,
  • dynamic view of iterative process,
  • setting weights as a power of their dissimilarities.
  This is a prototype written in MatLab. In this test version (version 0.1), you cannot enter your own data. A limited set of data is available amongst which the Rothkopf morse data and Returns of 13 stock exchanges.

  You can download the following files

  • iMDS.exe (132 kB): the standalone application,
  • matlab.mat (2065 kB): the data that are used by iMDS,
  • iMDS_pkg.exe (233,462 kB!): this file contains a full installer of the MatLab libraries that are used by iMDS. It will also install iMDS.exe and the MatLab runtime environment. MatLab 2008a is used for compilation.