curriculum vitae jacqueline j. meulman 5jmeulman/publications_september_2013-1-3.pdfcurriculum vitae...

Curriculum Vitae Jacqueline J. Meulman 5

4. Publications

4a. Books / Monographs

1. Meulman, J.J., Heiser, W.J. and SPSS. (2012). SPSS Categories 20.0, Chicago, IL: SPSS.

2. Hubert, L.J., Arabie, P., & Meulman, J.J. (2006). The Structural Representation of Proximity

Matrices with MATLAB. ASA-SIAM Series on Statistics and Applied Probability. Philadelphia:

SIAM.

3. Meulman, J. J., Heiser, W. J., & SPSS Inc. (2005). Categories 14.0. Chicago: SPSS Inc.


5. Yanai, H., Okada, A., Shigemasu, K., Kano, Y., & Meulman, J.J. (Eds.). (2003). New

Developments in Psychometrics. Tokyo: Springer-Verlag.

6. Hubert, L.J., Arabie, P., & Meulman, J.J. (2001). Combinatorial Data Analysis: Optimization

by Dynamic Programming. SIAM Monographs on Discrete Mathematics and Applications.

Philadelphia: SIAM.


8. Albert Gifi (1990). Nonlinear Multivariate Analysis (Eds. W.J. Heiser, J.J. Meulman, G. van

der Berg). New York: Wiley.

9. Coppi R., & Bolasco, S. (Eds., 1989), The analysis of multiway data matrices. Amsterdam:

North-Holland [Associate Editor].

10. De Leeuw, J., Heiser, W.J., Meulman, J.J., & Critchley, F. (Eds., 1986). Multidimensional data

analysis. Leiden: DSWO Press.

11. Meulman, J.J. (1986). A distance approach to nonlinear multivariate analysis. Leiden: DSWO

Press.

12. Meulman, J.J. (1982). Homogeneity analysis of incomplete data. Leiden: DSWO Press.

4b. Journal Articles 13. Draisma, H. H., Reijmers, T. H., Meulman, J. J., van der Greef, J., Hankemeier, T., &

Boomsma, D. I. (2012). Hierarchical clustering analysis of blood plasma lipidomics profiles

from mono-and dizygotic twin families. European Journal of Human Genetics.


14. Van Wietmarschen, H. A., Dai, W., van der Kooij, A. J., Reijmers, T. H., Schroën, Y.,

Wang, Meulman, J. J, & van der Greef, J. (2012). Characterization of Rheumatoid

Arthritis Subtypes Using Symptom Profiles, Clinical Chemistry and Metabolomics

Measurements. PloS one, 7(9), e44331.

15. Rippe, R. C., Meulman, J. J., & Eilers, P. H. (2012). Correction of fluorescence bias on

Affymetrix genotyping microarrays. Journal of Chemometrics.

16. Rippe, R. C., Meulman, J. J., & Eilers, P. H. (2012). Visualization of Genomic Changes by

Segmented Smoothing Using an L0 Penalty. PloS one, 7(6), e38230.

17. Rippe, R. C., Meulman, J. J., & Eilers, P. H. (2012). Reliable Single Chip Genotyping with

Semi-Parametric Log-Concave Mixtures. PloS one, 7(10), e46267.

18. Meulman, J.J. (2011). Principal coordinates analysis with optimal transformation of the

variables: Minimizing the sum of squares of the smallest eigenvalues. British Journal of

Mathematical and Statistical Psychology 08/2011; 46(2), 287 - 300.

19. Van Wietmarschen, H.A., Reijmers, T.H., van der Kooij, A.J., Schroën, J., Wei, H.,

Hankemeier, T., Meulman, J.J., van der Greef, J. (2011). Sub-typing of rheumatic diseases

based on a systems diagnosis questionnaire. PLoS ONE 01/2011; 6(9), e24846.

20. Draisma, H.H.M., Reijmers, T. H., van der Kloet, F., Bobeldijk-Pastorova, I., Spies-Faber, E.,

Vogels, J.T.W.E., Meulman, J.J., Boomsma, D.I., van der Greef, J., Hankemeier, T., (2010).

Equating, or correction for between-block effects with application to body fluid LC-MS and

NMR metabolomics data sets. Analytical Chemistry 02/2010; 82(3), 1039-46.

21. Lombardo, R., Meulman, J.J. (2010). Multiple Correspondence Analysis via Polynomial

Transformations of Ordered Categorical Variables. Journal of Classification. 01/2010; 27, 191-

210.

22. Lombardo, R, & Meulman, J.J. (2009). Multiple correspondence analysis via polynomial

transformations of ordered categorical variables. Journal of Classification, 27, 191-210.

23. Draisma, H.M., Reijmers, Th.H., Bobeldijk-Pastorova, I., Meulman, J.J., et al. (2008).

Similarities and differences in lipidomics profiles among healthymonozygotic twin pairs.

Omics, A journal of integrative biology, 12, 17-31.

24. Damian, D, Oresic, M, Verheij, E, Meulman, J, Friedman J, Adourian A, Morel N, Smilde A ,

van der Greef J. Applications of a new subspace clustering algorithm (COSA) in medical

systems biology. Metabolomics, 3, 69-77.


25. Linting, M., Meulman, J.J., Groenen, P.J.F., & Van der Kooij, A.J. (2007). Nonlinear Principal

Components Analysis: Introduction and Application. Psychological Methods, 12, 336-358.

26. Linting, M, Meulman, J.J., Groenen, P.J.F., Van der Kooij, A.J. (2007). Stability of Nonlinear

principal components analys is: An empirical study using the balanced bootstrap.

Psychological Methods 12 (3): 359-379 SEP 2007

27. Van der Kooij, A.J., Meulman, J.J., & Heiser, W.J. (2005). Local minima in categorical

multiple regression. Computational Statistics and data analysis, 50, 446-462.

28. Dusseldorp, E. & Meulman, J.J. (2004). The regression trunk approach to treatment covariate

interaction. Psychometrika, 69, 355-374.

29. Friedman, J.F. & Meulman, J.J. (2004). Clustering objects on subsets of variables (with

discussion). Journal of the Royal Statistical Society, Series B, 66, 815-849.

30. Groenen, P.J.F., & Meulman, J.J. (2004). A comparison of the ratio of variances in distance-

based and classical multivariate analysis. Statistica Neerlandica, 58, 428-439.

31. Van Os, B.J., & Meulman, J.J. (2004). Improving dynamic programming strategies for

partitioning. Journal of Classification, 21, 207-230.

32. Bensmail, H. & Meulman, J.J. (2003). Model-based clustering with noise: Bayesian inference

and information. Journal of Classification, 20, 49-76.

33. Friedman, J.F. & Meulman, J.J. (2003). Prediction with multiple additive regression trees with

application in epidemiology. Statistics in Medicine, 22, 1365-1381.

34. Meulman, J.J. (2003). Prediction and Classification in Nonlinear Data Analysis: Something

old, something new, something borrowed, something blue. Psychometrika, 68, 493-517.

35. Theunissen, N.C.M., Meulman, J.J., den-Ouden, A.L., Koopman, H.M., Verrips, G.H.,

Verloove-Vanhorick, S.P., & Wit, J.M. (2003). Changes can be studied when the

measurement instrument is different at different time points. Health Services and Outcomes

Research Methodology, 4, 109-126.

36. Hubert, L. J. , Arabie, P. & Meulman, J.J. (2002). Linear Unidimensional Scaling in the L2-

Norm: Basic Optimization Methods Using MATLAB. Journal of Classification, 19, 303-328.

37. Hubert, L.J., Arabie, P., & Meulman, J.J. (2001). Modeling dissimilarity: Generalizing

ultrametric and additive tree representations. British Journal of Mathematical and Statistical

Psychology, 54, 103-123.


38. Dusseldorp, E. & Meulman, J.J. (2001). Prediction by integration of regression trees and linear

regression with optimal scaling. Methods of Information in Medicine, 40, 403-409.

39. Groenen, P.J.F., Van Os, B.J., & Meulman J.J. (2000). Optimal scaling by length-constrained

alternating nonnegative least squares: an application to distance-based principal coordinate

analysis, Psychometrika, 65, 511-524.

40. Haas, M. de, Algera, J.A., van Tuijl, H.F.J.M., & Meulman, J.J. (2000). Macro and microgoal

setting: in search of coherence. Applied Psychology: An International Review, 49, 577-593.

41. Hubert, L.J., Meulman, J.J., & Heiser, W.J (2000). Two purposes for matrix factorization: A

historical appraisal. SIAM Review, 42, 68-82.

42. Theunissen, N.C.M., den-Ouden, A.L., Meulman, J.J., Koopman, H.M., Verloove-Vanhorick,

S.P., & Wit, J.-M. (2000). Health Status developments in a cohort of pretermchildren, The

Journal of Pediatrics, 147, 534-539.

43. Zeijl, E, te Poel, Y., du Bois-Reymond, M., Ravesloot, J., & Meulman, J.J. (2000) The role of

parents and peers in the leisure activities of young adolescents, Journal of Leisure Research,

32, 281-302.

44. 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.

45. Gower, J.C., Meulman, J.J., & Arnold, G.M. Non-metric linear biplots (1999). Journal of

Classification, 16, 181-196.

46. Dusseldorp, E., Van Elderen, T., Maes, S., Meulman J., & Kraaij, V. (1999). A Meta-Analysis

of Psycho-Educational Programs for Coronary Heart Disease Patients. Health Psychology, 18,

506-519.

47. Commandeur, J.J.F., Groenen, P.J.F., & Meulman J.J. (1999). A distance-based variety of

nonlinear multivariate analysis, including weights for objects and variables. Psychometrika,

64, 169-186

48. Hubert, L.J., Arabie, P., & Meulman, J.J. (1998) The representation of symmetric proximity

data: dimensions and classifications. The Computer Journal, 41, 566-577.

49. Hubert, L.J., Arabie, P., & Meulman, J.J. (1998). Graph-theoretic representation for proximity

matrices through strongly-anti-Robinson or circular-anti-Robinson matrices. Psychometrika,

63, 341-358.


50. Groenen, P.J.F., Commandeur, J.J.F., & Meulman J.J. (1998). Distance analysis of large data

sets of categorical variables using object weights. British Journal of Mathematical and

Statistical Psychology, 51, 217-232.

51. Van der Ham, Th., Meulman, J.J., Van Strien, D.C. and Van Engeland, H. (1997). Empirically

based subgrouping of eating disorders in adolescents: a longitudinal perspective. British

Journal of Psychiatry, 170, 363-368.

52. Rietveld, W.J., Boon, M.E. & Meulman, J.J. (1997). Seasonal fluctuations in the cervical

smear detection rates for (pre)malignant changes and for infections. Diagnostic

Cytopathology, 17, 452-455.

53. Meulman, J.J. (1996). Fitting a distance model to homogeneous subsets of variables: Points

of view analysis of categorical data. Journal of Classification, 13, 249-266.

54. Gower, J.C., & Meulman, J.J. (1993). The treatment of categorical information in physical

anthropology. International Journal of Anthropology, 8, 43-51.

55. Meulman, J.J. (1993). Principal coordinates analysis with optimal transformations of the

variables: minimizing the sum of squares of the smallest eigenvalues. British Journal of

Mathematical and Statistical Psychology, 46, 287-300..

56. Meulman, J.J., & Verboon, P. (1993). Points of view analysis revisited: fitting

multidimensional structures to optimal distance components with cluster restrictions on the

variables. Psychometrika, 58, 7 – 35.

57. Meulman, J.J. (1992). The integration of multidimensional scaling and multivariate analysis

with optimal transformations. Psychometrika, 57, 539-565.

58. Meulman, J.J., Zeppa, P., Boon, M.E., & Rietveld, W.J. (1992). Prediction of various grades

of cervical preneoplasia and neoplasia on plastic embedded cytobrush samples: discriminant

analysis with qualitative and quantitative predictors. Analytical and Quantitative Cytology and

Histology, 14, 60-72.

59. De Leeuw, J., & Meulman, J.J. (1986). A special Jackknife for multidimensional scaling.

Journal of Classification, 3, 97-112.

60. Heiser, W.J., & Meulman, J.J. (1983). Constrained multidimensional scaling, including

confirmation. Applied Psychological Measurement, 7, 381-404.

61. Heiser, W.J., & Meulman, J.J. (1983). Analyzing rectangular tables by joint and constrained

multidimensional scaling. Journal of Econometrics, 22, 139-167.


4c. Chapters in Books / Papers in Edited Volumes

62. Meulman, J.J., Hubert, L.J., Arabie, P. (2010). Ordering and Scaling Objects in Multivariate

Data Under Nonlinear Transformations of Variables. In:B. Fichet et al. (Eds), Classification

and Multivariate Analysis for Complex Data Structures, (pp. 29-40).

63. Meulman, J.J., Van der Kooij,. A.J., & Heiser, W.J. (2004). Principal Components Analysis

with Nonlinear Optimal Scaling Transformations for Ordinal and Nominal Data. In: D. Kaplan

(ed.), Handbook of Quantitative Methods in the Social Sciences, (pp. 49-70). Newbury Park,

CA: Sage Publications.

64. Meulman, J.J., Van der Kooij, A., & Babinec, A. (2002). New features of categorical principal

components analysis for complicated data sets, including data mining. In: W. Gaul & G. Ritter

(Eds.), Classification, data analysis, and knowledge organization, (pp. 207-217). Berlin:

Springer Verlag.

65. Dusseldorp, E. & Meulman, J.J. (2002). Application of data mining tools in the behavioral

sciences. In: J. Meij (Ed.), Dealing with the data flood: mining data, text, and multimedia, (pp.

220-234). The Hague: STT/Beweton Netherlands Study Center for Technology Trends.

66. Hubert, L.J., Arabie, P., Meulman, J.J. (2001). Dynamic programming in clustering. In: C.A.

Floudas & P.M. Pardalos (Eds.), Encyclopedia of optimization, Volume 1, A-D, (pp. 506-513).

Dordrecht, The Netherlands: Kluwer Academic Publishers.

67. Meulman, J.J. (2000). Relational data analysis: Discrimination and classification In: W. Gaul &

O. Opitz (Eds.), Classification and Information Processing at the Turn of the Millenium, (pp.

32-39). Berlin: Springer Verlag.

68. Meulman, J.J. (1998). Book review of W.J. Krzanowski and F.H.C. Marriott, Multivariate

Analysis, Part I, Distributions, Ordination and Inference, Journal of Classification, 15, 287-293.

69. Meulman, J.J. (1998). Optimal scaling methods for graphical display of multivariate data. In:

R. Payne & P. Green (Eds.), COMPSTAT 1998 Proceedings in Computational Statistics, (pp.

65-76). Heidelberg: Physica-Verlag.

70. Meulman, J.J., Hubert, L.J. & Heiser, W.J. (1998). The Data Theory Scaling System. In: A.

Rizzi, M. Vichi & H.H. Bock (Eds.), Advances in Data Science and Classification, (pp. 489-

496). Berlin: Springer Verlag.

71. Meulman, J.J., (1998). A distance-based biplot for multidimensional scaling of multivariate

data. In: C. Hayashi, N. Ohsumi, K. Yajima, Y. Tanaka, H.H. Bock & Y. Baba (Eds.), Data

Science, Classification, and Related Methods, pp. 506-517. Tokyo: Springer Verlag.


72. 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.),

Classification, Data Analysis and Data Highways (pp. 46-53). Berlin: Springer Verlag.

73. Bensmail, H. & Meulman, J.J., (1998). MCMC Inference for model-based cluster analysis. In:

A. Rizzi, M. Vichi & H.H. Bock (Eds.), Advances in Data Science and Classification, (pp. 191-

196). Berlin: Springer Verlag.

74. Van der Kooij, A.J., & Meulman J.J., (1997). MURALS: Multiple regression and optimal

scaling using alternating least squares. In: W. Bandilla & F. Faulbaum (Eds.), Advances in

Statistical Software, (pp. 99-106). Stuttgart: Lucius & Lucius. Stuttgart: Lucius & Lucius.

75. Meulman, J.J. & Heiser, W.J., (1997). Graphical display of interaction in multiway contingency

tables by use of homogeneity analysis: the 2 x 2 x 2 x 2 case. In: M. Greenacre & J. Blasius

(Eds.), Visual Display of Categorical Data, pp. 277-296. New York: Academic Press.

76. Meulman, J.J. (1997). Multivariate data analysis through optimal scoring methods. In: Bulletin

of the International Statistical Institute, Proceedings of the 51th Session of the ISI, (pp. 247-

250). Istanbul: International Statistical Institute.

77. Hubert, L.J., Arabie, P., Meulman, J.J. (1997). Hierarchical clustering and the construction of

(optimal) ultrametrics using Lp - norms. In: Y. Dodge (Ed.), L1-Statistical Procedures and

Related Topics, (pp. 457-472). Lecture Notes - Monograph Series, Hayward. CA: Institute of

Mathematical Statistics.

78. Hubert, L.J., Arabie, P., Meulman, J.J. (1997). The construction of globally optimal ordered

partitions. In: B. Mirkin, F.R. McMorris, F.S. Roberts, and A. Rzhetsky (Eds.), Mathematical

Hierarchies and Biology (pp. 299-311). DIMACS Series in Discrete Mathematics and

Theoretical Computer Science. Providence, RI: American Mathematical Society.

79. Heiser, W.J. & Meulman, J.J. (1997). Nonlinear Multivariate Analysis: Overview and recent

advances. In: M. Ato Garcia & J. A. Lopez Pina (Eds.), IV Simposio de Metodologia de las

Ciencias del Comportamiento (pp. 15-32). Murcia: Servicio de Publicaciones, Universidad.

80. Heiser, W.J. & Meulman, J.J. (1997). Representation of binary multivariate data by graph

models using the Hamming metric. In: E. Wegman and S. Azen (Eds.), Computing Science

and Statistics, 29(2), (pp. 517-525). Fairfax, VA: Interface Foundation of North America, Inc.

81. Groenen, P.J.F., Commandeur, J.J.F., & Meulman J.J. (1997). PIONEER: A program for

distance-based multivariate analysis. In: W. Bandilla & F. Faulbaum (Eds.), Advances in

Statistical Software, (pp. 83-90). Stuttgart: Lucius & Lucius.


82. Meulman, J.J., (1995). Review of Elements of Dual Scaling: An Introduction to Practical Data

Analysis, by Shizuhiko Nishisato, Journal of the American Statistical Association, 90, 395-396.

83. Heiser, W.J. & Meulman, J.J. (1995). Nonlinear methods for the analysis of homogeneity and

heterogeneity. In: W.J. Krzanowski (Ed.), Recent Advances in Descriptive Multivariate

Analysis (pp. 51-89). Oxford: Oxford University Press.

84. Heiser, W.J., & Meulman, J.J. (1994). Homogeneity analysis: exploring the distribution of

variables and their nonlinear relationships. In: M. Greenacre, & J. Blasius (Eds.),

Correspondence Analysis in the Social Sciences: Recent Developments and Applications (pp.

179-209). New York: Academic Press.

85. Meulman, J.J., & Heiser, W.J. (1993). Nonlinear biplots for nonlinear mappings. In: O. Opitz,

B. Lausen, & R. Klar (Eds), Information and Classification: Concepts, Methods and

Applications (pp. 201-213). Berlin: Springer Verlag.

86. Hillebrand, R., & Meulman, J.J. (1992). Afstand en nabijheid: verhoudingen in de Tweede

Kamer (Distance and proximity: relations in the Second Chamber [of the Dutch Parliament]).

In: J.J.A. Thomassen, M.P.C.M. Van Schendelen, and M.L. Zielonka-Goei (Eds.), De geachte

afgevaardigde... hoe kamerleden denken over het Nederlandse parlement (pp. 98-128).

Muiderberg: Coutinho.

87. Meulman, J.J. (1991). Principal components analysis using distances, including weights for

variables and dimensions. In: S. Zidak (Ed), Proceedings of DIANA III, international meeting

on discriminant analysis (pp. 178-196). Prague: Czechoslovak Academy of Sciences.

88. Bolasco, S., Escoufier, Y., & Meulman, J.J. (1989). Symmetric and nonsymmetric approaches

to the analysis of structured data matrices. In: R. Coppi and S. Bolasco (Eds), The analysis of

multiway data matrices (pp. 215-220). Amsterdam: North-Holland.

89. Meulman, J.J. (1989). Distance analysis in reduced canonical spaces. In: R. Coppi and S.

Bolasco (Eds), The analysis of multiway data matrices (pp. 233-244). Amsterdam: North-

Holland.

90. Heiser, W.J., & Meulman, J.J. (1989), The approximation of K-subspaces by K other ones in a

reduced common space. In: Bulletin of the International Statistical Institute, Proceedings of the

47th session of the International Statistical Institute (pp. 430-43). Paris: International Statistical

Institute

91. Meulman, J.J., & Heiser, W.J. (1988). Second order regression and distance analysis. In: W.

Gaul and M. Schader (Eds.), Data, expert knowledge and decisions (pp. 368-380). Berlin:

Springer-Verlag.


92. Meulman, J.J. (1988). OVERALS: Nonlinear generalized canonical analysis. In: A. Di Ciaccio

and G. Bove (Eds.), Multiway '88 software guide (pp. 59-66). Rome: Dipartimento di

Statistica, Probabilità e statistiche Applicate.

93. Meulman, J.J. (1988). Nonlinear redundancy analysis via distances. In: H.H. Bock (Ed.),

Classification and related methods of data analysis (pp. 515-522). Amsterdam: North-Holland

Publishing Company.

94. Heiser, W.J., & Meulman, J.J. (1987). Afstandsmodellen voor multivariate analyse (Distance

models for multivariate analysis). In: H.F.M. Crombag, L.J.Th. van der Kamp and C.A.J. Vlek

(Eds.) De Psychologie Voorbij: ontwikkelingen rond model, metriek en methode in de

gedragswetenschappen (pp. 209-235). Lisse: Swets & Zeitlinger.

95. De Leeuw, J., & Meulman, J.J. (1986). Principal components analysis and restricted

multidimensional scaling. In: W. Gaul and M. Schader (Eds.), Classification as a tool of

research (pp. 83-96). Amsterdam: North-Holland Publishing Company.

96. Meulman, J.J., & Heiser, W.J. (1984). Constrained multidimensional scaling: more directions

than dimensions. In: T. Havránek et al. (Eds.), COMPSTAT 1984: Proceedings in

Computational Statistics (pp. 137-142). Vienna: Physica Verlag.

4d. Technical reports/other

97. Bensmail, H., & Meulman, J.J. (1998). Monte Carlo Markov Chain Inference in Model-based

Cluster Analysis, Research Report RR-98-02. Leiden: Department of Data Theory, Leiden

University.

98. Dusseldorp, E., Meulman, J. J., Maes S., Brezinka, V. (1998). Classification

using discriminant analysis with optimal scaling to study differential response to a coronary

incident. In Data Science Classification and Related Methods (p. 116-120), extended abstract

of IFCS-98.

99. Groenen, P.J.F., Van Os, B.-J., & Meulman, J.J. (1998). Optimal scaling by alternating least

squares. Research Report RR-98-01. Leiden: Department of Data Theory, Leiden University.

100. Commandeur, J.J.F., Groenen, P.J.F. & Meulman, J.J. (1997). A distance-based variety of

nonlinear multivariate data analysis, including weights for objects and variables. Research

Report RR-97-03. Leiden: Department of Data Theory.

101. Groenen, P.J.F., Commandeur, J.J.F., & Meulman, J.J. (1997). PIONEER User's Guide,

Version 0.31. Leiden: Department of Data Theory.

http://www.fsw.leidenuniv.nl/www/w3_data/pioneer/pioneer.htm.


102. Groenen, P.J.F., Heiser W.J. & Meulman, J.J. (1997). City-block scaling: Smoothing

strategies for avoiding local minima. Research Report RR-97-01. Leiden: Department of Data

Theory, University of Leiden.

103. Groenen, P.J.F., Heiser W.J. & Meulman, J.J. (1997). Global optimization in least-squares

multidimensional scaling by distance smoothing. Research Report RR-97-02. Leiden:

Department of Data Theory, University of Leiden.

104. Groenen, P.J.F. & Meulman, J.J. (1997). Fitting objects and variables simultaneously in

smoothed nonlinear biplots by least-squares multidimensional scaling. Bulletin of the

International Statistical Institute, ISI '97, Book 2, 151–152.

105. Groenen, P.J.F., Commandeur, J.J.F., & Meulman J.J., (1996). Distance analysis of large

data sets of categorical variables using object weights. Research Report RR-96-01, Leiden:

Department of Data Theory.

106. Hubert, L.J., Arabie, Ph., & Meulman, J.J. (1996). Linear and Circular Unidimensional Scaling

for Symmetric Proximity Matrices. Research Report RR-96-02, Leiden: Department of Data

Theory.

107. Meulman, J.J., (1996). A distance-based biplot for multidimensional scaling of multivariate

data. Research RR-96-04, Leiden: Department of Data Theory.

108. Meulman, J.J. & Heiser, W.J., (1996). Graphical display of interaction in multiway contingency

tables by use of homogeneity analysis. Research Report RR-96-05, Leiden: Department of

Data Theory.

109. Rietveld, W.J., Boon, M.E. & Meulman, J.J., (1995). Seasonal fluctuations in the cervical

smear detection rates for (pre)malignant changes and for infections: a mirror-like pattern of

data from the Northern and the Southern hemisphere. Research Report RR-95-05, Leiden:


110. Van der Ham, Th., Meulman, J.J., Van Strien, D.C., & Van Engeland, H., (1995). Empirically

Based Subgrouping of Eating Disorders in Adolescents by Principal Components Analysis: A

Longitudinal Perspective. Research Report RR-95-01, Leiden: Department of Data Theory.

111. Meulman, J.J., (1994). Fitting a Distance Model to Homogeneous Subsets of variables: Points

of View Analysis of Categorical Data, Research Report RR-94-01, Leiden: Department of Data

Theory.


112. Heiser, W.J., & Meulman, J.J. (1992). Homogeneity analysis: Exploring the distribution of

variables and their nonlinear relationships. Research RR-89-05. Leiden: Department of Data

Theory.

113. Meulman, J.J., & Verboon, P. (1991). Points of view analysis revisited: fitting multidimensional

structures to optimal distance components with cluster restrictions on the variables. Research

RR-91-03. Leiden: Department of Data Theory.

114. Meulman, J.J. (1991). Multivariate analysis with nonlinear transformations, nonlinear

mappings and nonlinear biplots. In: H. Drygas, O. Krafft, & E. Sonneman, Lineare Modelle und

multivariate statistische Verfahren [Linear Models and Multivariate Analysis], 7-8.

Mathematisches Forschungsinsitut, Oberwolfach

115. Meulman, J.J. (1990). Principal components analysis using distances, including weights for

variables and dimensions. Research RR-90-05. Leiden: Department of Data Theory.

116. Meulman, J.J., Zeppa, P., Boon, M.E., & Rietveld, W.J. (1990). Prediction of various grades

of cervical preneoplasia and neoplasia on plastic embedded cytobrush samples: discriminant

analysis with qualitative and quantitative predictors. Research RR-90-07. Leiden: Department

of Data Theory.

117. SPSS (1990), Categories. Chicago: SPSS Inc. [co-editor].

118. Meulman, J.J. (1989). Nonlinear principal components analysis: minimizing the sum of

squares of the smallest eigenvalues of a correlation matrix. Research RR-89-05. Leiden:


119. Meulman, J.J. (1988). Reduced space analysis. Research Report RR-88-01. Leiden:


120. Meulman, J.J. (1987). Distance approximation in nonlinear redundancy analysis. Research

Report RR-87-07. Leiden: Department of Data Theory.

121. Meulman, J.J., & Heiser, W.J. (1987). Second order regression. Research Report RR-87-09.

Leiden: Department of Data Theory.

122. De Leeuw, J., & Meulman, J.J. (1985). Alternative approximations in principal component

analysis. Research Report RR-85-13. Leiden: Department of Data Theory.

123. Van de Geer, J. P., & Meulman, J.J. (1985). PRIMALS. Research Report UG-85-01. Leiden:



124. Meulman, J.J., Heiser, W. J., & Carroll, J. D. (1985). PREFMAP-3 User's Guide. Technical

Memorandum, Murray Hill, NJ: AT&T/Bell Telephone Laboratories

125. Meulman, J.J. (1984). Correspondence analysis and stability. Research Report RR-84-01.

Leiden: Department of Data Theory.

126. Heiser, W.J., & Meulman, J.J. (1984). Cross validation of multidimensional representations.

Research Report RR-84-01. Leiden: Department of Data Theory.

127. Meulman, J.J., & Heiser, W.J. (1983). The display of bootstrap solutions in multidimensional

scaling. Leiden: Department of Data Theory.

4e. Computer Programs for Multivariate Data Analysis

128. Busing, F. M. T. A, Heiser, W. J., Neufeglise, P., & Meulman, J. J. (2005). PREFSCAL.

SPSS, Inc., Chicago.

129. Van der Kooij, A.J., & Meulman, J.J. (2004). Multiple Correspondence Analysis. SPSS, Inc,

Chicago.

130. Van der Kooij, A.J., Neufeglise, P., & Meulman, J.J. (2001). CATREG, Categorical Multiple

Regression with Optimal Scaling (revised and updated version). SPSS, Inc, Chicago.

131. Busing, F. M. T. A, Heiser, W. J., Neufeglise, P., & Meulman, J. J. (1999). PROXSCAL.

SPSS, Inc., Chicago.

132. Van der Kooij, A.J., Neufeglise, P., & Meulman, J.J. (1999). CATPCA, Categorical Principal

Components Analysis with Optimal Scaling. SPSS, Inc, Chicago.

133. Groenen, P.J.F., Commandeur, J.J.F., Van Os, B.J., & Meulman, J.J. (1998),. PIONEER,

Distance Based Multivariate Analysis, Data Theory Group, Leiden University.

134. Van der Kooij, A.J., Neufeglise, P., & Meulman, J.J. (1997). CORRESPONDENCE,

Correspondence Analysis and More General Biplots, including Constraints. SPSS, Inc,

Chicago.

135. Van der Kooij, A.J., Neufeglise, P., & Meulman, J.J. (1997). CATREG, Categorical Multiple

Regression with Optimal Scaling. SPSS, Inc, Chicago.

136. Groenen, P.J.F. & Meulman, J.J. (1995). DIAMOND, Distance Analysis of Multivariate Ordinal

and Nominal Data. Department of Data Theory, Leiden University.


137. Meulman, J.J. & Heiser, W.J. (1990). CATEGORIES. Optimal scaling programs for

multivariate analysis (HOMALS, PRINCALS, OVERALS, ANACOR). SPSS Inc, Chicago.

138. Meulman, J.J., Heiser, W.J., & Carroll, J.D. (1982). PREFMAP-3: Metric and nonmetric

external unfolding using vector and ideal point models. Bell Telephone Laboratories, Murray

Hill, NJ.

139. Meulman. J.J. & Gifi, A. (1981). PRIMALS: One-dimensional homogeneity analysis, including

principal components analysis with optimal scaling. Department of Data Theory, Leiden, 1981.

Papers and Lectures

Keynote/Invited

Regularized regression with multiple outcome variables using optimal scaling. Pamplona, Spain,

August 29, 2012.

Joint prediction of multiple outcomes by regularized regression with optimal scaling, Stanford,

USA, April 10, 2012.

Implementing state-of-the art statistical techniques in a commercial statistical package. Leiden,

November 19, 2012.

. . .

Clustering objects on subsets of variables (with J.H. Friedman). Plenary address to the Royal

Statistical Society (with discussion), May 5, 2004

Prediction and Classification in Nonlinear Data Analysis: Something old, something new, something

borrowed, something blue. Presidential Address at the 68th Annual Meeting of the

Psychometric Society, Sardinia, Italy, July 9, 2003.

Prediction and Dimension Reduction with Nonlinear Transformation of Variables. Joint Workshop

on Statistical Data Mining, EURANDOM, Eindhoven, The Netherlands, April 23, 2003

Nonlinear optimal scaling transformations of large sets of attributes. Special invited seminar,

Beyond Genomics, Boston, August, 2002.

Clustering objects on subsets of attributes. SPSS. Inc, Chicago, April, 2002

Recent advances in multivariate data analysis. Special invited seminar, University of Naples, Italy,

September, 2000.


Features of multivariate optimal scaling techniques for data mining. Conference on Nonlinear

methods and data mining. University of Rome, Italy, September, 2000.

Transformation towards Independence in Categorical Regression. The International Conference on

Measurement and Multivariate Analysis, Banff, Canada, May 2000.

New Features of Categorical Principal Components Analysis for the Analysis of Complicated Data

Sets, including Data Mining. Meeting of the German Classification Society GfKl, Passau,

Germany, March 2000.

Optimal Scaling. International Conference on Intelligent Data Analysis. CWI, Amsterdam, The

Netherlands, August 1999.

Forced Classification of Row Profiles in Categorical Data Analysis. The analysis of Large Data

Sets, Cologne University, May 1999.

Relational data analysis and graphical display: discrimination and classification. Meeting of the

German Classification Society GfKl, Bielefeld, Germany, March 1999.

Alternative approaches in the analysis of categorical data using distance-based multivariate

analysis. The Annnual Open University Statistics Conference, Oxford, England, January

1999.

Optimal scaling methods for graphical display of categorical data. Colloquium. Osaka University,

Osaka, Japan, September, 1998.

Applications of optimal scaling techniques in the analysis of ranking, preference, and other

qualitative data. Colloquium. Rikkyo University, Tokyo, Japan, September, 1998

The use of optimal scaling and quantification methods in psychometrics. Seminar. SHL

Psychometric Test Institute, Tokyo, Japan, September, 1998.

Relational data analysis, optimal scaling, and quantification methods. Keynote Address Annual

Meeting of the Japanese Behaviormetric Society, Tokyo, Japan, September, 1998.

Optimal scaling methods for graphical display of multivariate data. 13th Symposium on

Computational Statistics, Bristol, England, August, 1998.

The Data Theory Scaling System. Sixth Conference of the International Federation of

Classification Societies, Rome, Italy, July, 1998.

Multivariate data analysis through optimal scoring methods. Symposium: "Recent developments in

contemporary psychometrics". The 51st Bi-annual Meeting of the International Statistical

Institute, Istanbul, Turkey, August, 1997.


Graph-theoretic representations and other simple structures for proximity matrices and multivariate

data, (with L. Hubert). The 10th European Meeting of the Psychometric Society, Santiago de

Compostela, Spain, July, 1997.

Multivariate data analysis with special applications to differences between groups and time points.

VVS Session at NOSMO Research Meeting. Utrecht, The Netherlands, November, 1996.

A distance-based biplot for multidimensional scaling of multivariate data. Fifth International

Federation of Classification Societies. Kobe, Japan, March, 1996.

Multivariate analysis of categorical data through optimal quantification: an overview. 50th

Anniversary Meeting of the Netherlands Society for Statistics and Operations Research,

Utrecht (The Netherlands), April, 1995.

Subject-oriented Multivariate Analysis. Leiden Studium Generale Series, Leiden (The Netherlands),

March, 1995.

Classification and discrimination do not always go hand-in-hand. Meeting of the Dutch Society for

Ordination and Classification (VOC), Hoeven, The Netherlands, November, 1994.

Nonlinear multivariate analysis in medical research. German Society for Social Medicine and

Prevention, Lübeck, Germany, October, 1992.

A synthesis of principal components analysis and group differences scaling. 20th European

Meeting of Statisticians, Bath, England, September, 1992.

Nonlinear biplots for nonlinear mappings. German Classification Society, Dortmund, Germany,

April, 1992.

Permutation tests for the distance approach to multivariate analysis. Third Conference of the

International Federation of Classification Societies, Edinburgh, Scotland, August, 1991.

Multivariate analysis, including nonlinear transformations, nonlinear mappings and nonlinear biplots.

Sociaal-wetenschappelijke sectie Vereniging voor Statistiek, Utrecht, March, 1991.

Multivariate analysis with nonlinear transformations, nonlinear mappings and nonlinear biplots.

Workshop 'Linear models and multivariate statistical analysis'. Mathematisches

Forschungsinstitut, Oberwolfach/Schwarzwald, Germany, November, 1990.

Comparing different approaches to multivariate analysis with optimal transformations. Seminar

'Recent developments in applied psychometrics', 22nd International Congress on Applied

Psychology, Kyoto, Japan, July, 1990.

Fitting distance models to multivariate data. Czechoslovak Academy of Sciences, Prague,

Czechoslovakia, June, 1990.


Multidimensional scaling and unfolding. Mathematical Applications, Ciba-Geigy, Basel, Switzerland,

May, 1990.

Classification through multidimensional scaling models for multivariate data. Meeting of the British

Classification Society/Mathematical Ecology Group on "Ordination in Classification",

Rothamsted Experimental Station, Harpenden, England, September, 1989

Nonlinear multivariate analysis through generalized individual differences models. Second

Conference of the International Federation of Classification Societies, Charlottesville,

Virginia, USA, June, 1989.

Some exciting approaches to multivariate analysis. Statistical Society of Montreal, Montreal,

Canada, November, 1988.

Generalized canonical analysis, with special attention to classification. Mathematical Applications,

Ciba-Geigy, Basel, Switzerland, September, 1988.

Nonlinear multivariate analysis and multidimensional scaling. Meeting of the "Vereniging voor

Ordinatie en Classificatie" (Ordination and Classification Society), August, 1988.

The integration of multidimensional scaling and multivariate analysis. Psychometric Workshop

McGill University, Mont St. Hilaire, Canada, May, 1988.

Distance analysis in reduced canonical spaces. Multiway '88, Università di Roma "La Sapienza",

Rome, March, 1988.

Nonlinear principal components analysis, including applications to disease studies. Mathematical

Applications, Ciba-Geigy, Basel, Switzerland, March, 1988

Canonical Analysis of M sets of indicator matrices, including gauges and incomplete data.

Mathematical Applications, Ciba-Geigy, Basel, Switzerland, February, 1988

Nonlinear multivariate analysis through optimal scaling. Mathematical Applications, Ciba-Geigy,

Basel, Switzerland, November, 1987.

Theory and applications of nonlinear multivariate analysis. University of Canterbury, Kent,

November, 1987.

Multivariate analysis of qualitative data. Rothamsted Experimental Station, Harpenden, England,

November, 1987.

Distance approximation in multivariate analysis. Multivariate Study Group of the Royal Statistical

Society, London, October, 1987.


Reduced dimensionality regression. International Workshop on Data Analysis, Decision Support

and Expert Knowledge Representation, University of Karlsruhe, Federal Republic of

Germany, June, 1987.

HOMALS and PRINCALS. SPSS Statistics Group, Chicago, March 1987.

.Joint multidimensional analysis of samples, species and environmental variables. Seminar "Data-

analytic methods in ecology" of the Contact Group on Probability Theory and Applications of

the Belgian Academy of Sciences, Leuven, 1986.

Constrained multidimensional scaling. Seminar, "Quantitative Psychology", Rutgers University,

New Brunswick, NJ, October, 1983.

Homogeneity analysis and principal components analysis. Seminar, “Friends of MDS”, Bell

Telephone.Laboratories, Murray Hill, NJ, January, 1982.

Contributed

Friedman, J.J. & Meulman, J.M. (2002). Clustering objects on subsets of attributes. Annual

conference of the American Statistical Association, New York, August, 2002.

Meulman, J.J., Hubert, L.J., & Arabie, P. (2002). A Unidimensional distance model for objects in

multivariate data under nonlinear transformation of variables. International Conference on

Advances in Nonparametric Statistics, Crete, July, 2002.

Meulman, J.J. & Friedman, J.F. (2002). Clustering objects on subsets of attributes using weighted

harmonic distances. International Conference on Statistics and Related Methods, Hawaii,

May, 2002.

Friedman, J.F. & Meulman, J.J. (2002). Clustering objects on subsets of attributes using targets

and canonical association. International Conference on Statistics and Related Methods,

Hawaii, May, 2002.

Meulman, J.J., Heiser, W.J., & Hubert, L.J. (2001). Three-way correspondence analysis through

generalized Euclidean distance models. Annual Meeting of the French Classification Society,

Guadeloupe, December, 2001.

Meulman, J.J. (2001). Nonlinear scaling techniques for the analysis of large and complicated data

sets. MSRI Workshop on Nonlinear Estimation and Classification, Berkeley, March, 2001.

Van Os, B.J., & Meulman, J.J. (2000). Global optimization of hierarchical cluster analysis by

dynamic programming. Namur, Belgium, IFCS-2000, The 7th Conference of the International

Federation of Classification Societies, July, 2000.


Van Os, B.J., & Meulman, J.J. (2000). Optimal partitioning of variables in multivariate analysis

ssing dynamic programming strategies. Passau, Germany, The 24th Annual Conference of

the German Classification Society (GfKl), March, 2000.

Van der Kooij, A.J., Meulman, J.J. & Heiser, W.J. (2000). Local minima in categorical multiple

regression. Namur, Belgium, IFCS-2000, The 7th Conference of the International Federation

of Classification Societies, July, 2000.

Dusseldorp, E.M.L. & Meulman, J.J. (2000). Interactions in linear regressions using regression

trees: A simulation study. Namur, Belgium, IFCS-2000, The 7th Conference of the

International Federation of Classification Societies, July, 2000.

Dusseldorp, E.M.L. & Meulman, J.J. (2000). Integration of regression trees into categorical multiple

regression analysis. Banff, Canada, International Conference on Measurement and

Multivariate Analysis, May, 2000.

Dusseldorp, E.M.L. & Meulman, J.J. (2000). The integration of regression trees into categorical

multiple regression analysis. Montreal, Canada, Psychology Department, McGill University,

April, 2000.

Dusseldorp, E.M.L. & Meulman, J.J. (2000). The integration of regression trees into categorical

multiple regression analysis. Passau, Germany, The 24th Annual Conference of the German

Classification Society (GfKl), March, 2000.

Bensmail, H. & Meulman, J.J. (2000). Model-based cluster analysis and preferential choice

modeling: A new approach. Namur, Belgium, IFCS-2000, The 7th Conference of the

International Classification Society, July, 2000.

Bensmail, H., Meulman, J.J. & Heiser, W.J. (2000) MCMC Latent class distance models for

analyzing single stimulus preference ratings. Passau, Germany, The 24th Annual Conference

of the German Classification Society (GfKl), March, 2000.

Van Os, B. J., & Meulman, J. J. (1999). Optimally Partitioning the Variables in MVA: combining

Dynamic Programming with Local Search. The 11th European Meeting of the Psychometric

Society, Lüneburg, Germany, July 1999.

Meulman, J.J. (1999). Applied Data Theory and Wonderment (De Toegepaste Datatheorie en de

Verwondering). Inaugural Speech Leiden University, Leiden, The Netherlands, September,

1999.

Meulman, J.J., Heiser, W.J., & Hubert, L.J. (1999). Three-way correspondence analysis through

individual differences models. Annual Meeting of the Psychometric Society, Lawrence,

Kansas, June 1999.


Meulman, J. J. (1999). Relational data analysis and graphical display: Discrimination and

classification. 2nd SFB 475-Conference, Dortmund University, Dortmund, Germany, March

1999.

Hubert, L. J., Arabie, P., & Meulman, J. J. (1999). Modeling dissimilarity: generalizing ultrametric

and additive tree representations. 11th European Meeting of the Psychometric Society,

Lüeneburg, Germany, July 1999.

Groenen, P. J. F., & Meulman, J. J. (1999). Representing objects and variables simultaneously

using smoothed nonlinear biplots in least-squares multidimensional scaling. The 23rd Annual

Conference of the German Classification Society (GfKl), Bielefeld, Germany, March 1999.

Bensmail, H., & Meulman, J. J. (1999). Discriminant analysis with optimal scaling. The 23rd Annual

Conference of the German Classification Society (GfKl), Bielefeld, Germany, March 1999.

Van der Kooij, A. J., & Meulman, J.J. (1998). Optimal Scaling in Multiple Regression studied in a

.632 Bootstrap. International Federation of Classification Societies, Rome, Italy, July 1998.

Van der Kooij, A. J., & Meulman, J.J. (1998). Optimal Scaling in Multiple Regression studied in a

.632 Bootstrap. Joint Annual Meeting of The Classification Society of North America and the

Psychometric Society, Urbana, Illinois, U.S.A., June 1998.

Meulman, J.J. (1998). Biplots in the analysis of multivariate data, with special attention to

alternative displays in correspondence analysis. Annual Meeting of the Psychometric Society,

Champaign, U.S.A., June, 1998.

Meulman, J.J., Hubert, L.J., and Arabie, P. (1998). Optimal Sequencing of Objects in Multivariate

Analysis, including Optimal Scaling of Variables. SIAM Conference on Iterative Methods,

Copper Mountain, Colorado, U.S.A., March, 1998

Groenen, P.J.F. & Meulman, J.J. (1998). Obtaining a larger amount of variance accounted for by

distance-based multivariate analysis. Joint Annual Meeting of the Psychometric Society and

the Classification Society of North America, Urbana, Illinois, U.S.A., June 1998

Groenen, P.J.F. & Meulman, J.J. (1998). Increasing variance accounted for by distance-based

multivariate analysis. The 22nd Annual Meeting of the Gesellschaft für Klassifikation,

Dresden, Germany, March, 1998.

Groenen, P.J.F., Heiser W.J., & Meulman, J.J. (1998). Global optimization in least squares

multidimensional scaling by distance smoothing. Sixth Conference of the International

Federation of Classification Societies, Rome, Italy, July, 1998.

Dusseldorp, E. (1998). Classification using discriminant analysis with optimal scaling to study

differential response to a coronary incident. Sixth Conference of the International Federation

of Classification Societies, Rome, Italy, July, 1998.


Dusseldorp, E., Meulman, J.J., & Van Elderen, T. (1998). Classification using tree models: A study

of differential response to a cardiac event and rehabilitation. Joint Annual Meeting of The

Classification Society of North America and the Psychometric Society, Urbana, Illinois,

U.S.A., June 1998.

Bensmail, H. (1998). MCMC Inference in Model-Based Cluster Analysis with Noise. Sixth

Conference of the International Federation of Classification Societies, Rome, Italy, July,

1998.

Bensmail, H. (1998). Monte Carlo Markov Chain Inference in Model-Based Cluster Analysis. Joint

Annual Meeting of the Psychometric Society and the Classification Society of North America,

Urbana, Illinois, U.S.A., June 1998.

Van Os, B.J. & Meulman J.J. (1997). Optimal partitioning of variables in MVA using dynamic

programming strategies. The 10th European Meeting of the Psychometric Society, Santiago

de Compostela, Spain, July, 1997.

Van der Kooij, A.J. & Meulman, J.J. (1997). MURALS: Multiple regression and optimal scoring

using alternating least squares. The 9th Conference on the Scientific Use of Statistical

Software, Heidelberg, Germany, March, 1997.

Meulman, J.J., Hubert, L.J., & Arabie, P. Distance analysis of multivariate ordinal and nominal

data: application to one-dimensional scaling. Annual Meeting of the Psychometric Society,

Gatlinburg, USA, June, 1997.

Groenen, P.J.F. & Meulman, J.J. (1997). Fitting objects and variables simultaneously in smoothed

nonlinear biplots by least-squares multidimensional scaling. The 51st Session of the

International Statistical Institute, Istanbul, Turkey, August, 1997.

Groenen, P.J.F., Heiser W.J. & Meulman, J.J. (1997). Iterative majorization in distance smoothing

for multidimensional scaling to avoid local minima.

The 6th International workshop on matrix methods for statistics, Istanbul, Turkey, August,

1997.

Groenen, P.J.F., Heiser, W.J. & Meulman, J.J. (1997). Solving the local minimum problem in

multidimensional scaling by distance smoothing. 10th European Meeting of the Psychometric

Society, Santiago de Compostela, Spain, July, 1997.

Groenen, P.J.F., Heiser W.J. & Meulman, J.J. (1997). City-block scaling: Smoothing strategies for

avoiding local minima. The 21st Annual Meeting of the Gesellschaft für Klassifikation,

Potsdam, Germany, March, 1997.

Groenen, P.J.F., Commandeur, J.J.F. & Meulman, J.J. (1997). PIONEER:

A program for distance-based multivariate analysis. SoftStat '97, Heidelberg, Germany,

March, 1997.


Dusseldorp, E., Meulman, J.J., & Maes, S. (1997). The Use of Distance Methods in the Study of

Aptitude Treatment Interaction. 10th European Meeting of the Psychometric Society,

Santiago de Compostela, Spain, July, 1997.

Commandeur, J.J.F., Groenen, P.J.F. & Meulman, J.J. (1997). Distance-based multivariate

analysis, optimal scoring, object weights, and variable weights. 10th European Meeting of the

Psychometric Society, Santiago de Compostela, Spain, July, 1997.

Van Os, B.-J., Groenen, P.J.F. & Meulman, J.J. (1996). Solving a constrained nonnegative least

squares problem with an iterative majorization scheme. The 5th International workshop on

matrix methods for statistics. Shrewsbury, United Kingdom, July, 1996.

Van Os, B.J., Groenen, P.J.F. & Meulman, J.J. (1996). Ftting monotone spline transformations in

distance-based multivariate analysis. The 1996 Annual Meeting of the Psychometric Society.

Banff, Canada, June, 1996.

Meulman, J.J. & Heiser, W.J. Graphical display of interaction in multiway contingency tables by use

of homogeneity analysis. Annual Meeting of the Psychometric Society, Banff, Canada, June,

1996.

Heiser, W.J. & Meulman, J.J. Display of interaction in multiway contingency tables by use of

homogeneity analysis. Seminar "Multinomial modelling". The 24th International Congress of

Psychology. Montreal, Canada, August, 1996.

Heiser, W.J. & Meulman, J.J. (1996). Multiple Scalogram Analysis by Fitting Feature Distance

Models. Annual Meeting of the Psychometric Society, Banff, Canada, June, 1996.

Groenen, P.J.F. & Meulman, J.J. (1996). Smoothing strategies in joint nonlinear biplots for

distance-based MVA. The 1996 Annual Meeting of the Psychometric Society. Banff, Canada,

June, 1996.

Groenen, P.J.F., Commandeur, J.J.F. & Meulman, J.J. (1996). Distance analysis of categorical

variables for large data sets using object weights. 20th Annual Meeting of the Gesellschaft für

Klassifikation. Freiburg, Germany, March, 1996.

Groenen, P.J.F. & Meulman, J.J. (1995). Joint nonlinear biplots through least squares scaling. The

9th European Meeting of the Psychometric Society, Leiden, The Netherlands, July, 1995.

Meulman, J.J. Point of view analysis of categorical data. Eighth European Meeting of the

Psychometric Society, University Pompeu Fabra, Barcelona, Spain, July, 1993.

Gower, J.C., Heiser, W.J., & Meulman, J.J. A synthesis of different approaches to multidimensional

data analysis. 20th European Meeting of Statisticians, Bath, England, September, 1992.

Meulman, J.J. The analysis of multivariate data with distance models: an overview. Distancia '92,

an international meeting on distance analysis. University of Rennes, France, June, 1992.


Heiser, W.J., & Meulman, J.J. Nonlinear biplots for nonlinear mappings: some new results.

Seventh European Meeting of the Psychometric Society, University of Trier, Germany, July,

1991.

Meulman, J.J., & Heiser, W.J. Nonlinear mappings and nonlinear biplots. Annual Meeting of the

Psychometric Society, Rutgers University, New Brunswick, USA, June, 1991.

Meulman, J.J. Nonlinear principal coordinates analysis by minimizing the sum of squares of the

smallest eigenvalues of a correlation matrix. Annual Meeting of the Psychometric Society,

University of Princeton, USA, July, 1990.

Heiser, W.J., & Meulman, J.J. Nonlinear biplots for nonlinear mappings. XXIIè Journeés de

Statistiques, Tours, France, May, 1990.

Meulman, J.J., & Verboon, P. Nonlinear principal components analysis with distance restrictions on

the component scores. Sixth European Meeting of the Psychometric Society, University of

Leuven, Belgium, July, 1989.

Meulman, J.J., & Heiser, W.J. Nonlinear multivariate analysis through generalized individual

differences models. Annual Meeting of the Psychometric Society, University of California at

Los Angeles, USA, June, 1989.

Meulman, J.J. Reduced Space Analysis. Annual Meeting of the Psychometric Society, University

of California at Los Angeles, Los Angeles CA, USA, June, 1988.

Meulman, J.J. Distance driven multivariate data analysis. Annual Meeting of the Classification

Society of North America, New York University, New York, USA,. June, 1988.

Meulman, J.J. Optimizing distance properties in multivariate analysis. Annual Meeting of the

Statistical Society of Canada, The University of Victoria, Victoria, Canada, June, 1988.

Meulman, J.J. Constrained Path Analysis of the horizontal patchiness of sea-ice microalgae.

Workshop "Path analysis of spatio-temporally autocorrelated data", Aachen, Federal

Republic of Germany, July, 1987.

Meulman, J.J. Nonlinear redundancy analysis via distances. First Conference of the International

Federation of Classification Societies, Aachen, Federal Republic of Germany, July, 1987.

Meulman, J.J. A distance model for canonical analysis. Fifth European Meeting of the

Psychometric Society, University of Twente, The Netherlands, June, 1987

Meulman, J.J. and De Leeuw, J. Relations between constrained multidimensional scaling and

principal components analysis. Fourth European Meeting of the Psychometric Society,

Cambridge, England, July, 1985.

De Leeuw, J. and Meulman, J.J. Principal components analysis and restricted multidimensional

scaling. 9th Annual Meeting of the German Classification Society, University of Karlsruhe,

Federal Republic of Germany, June, 1985.


Heiser, W.J. and Meulman, J.J. Cross validation of multidimensional representations. "Table

Ronde: Analyse des données", Université Paul Sabatier, Toulouse, France, January, 1984.

Meulman, J.J. Correspondence analysis and stability. "Table Ronde: Analyse des données",

Université Paul Sabatier, Toulouse, France, January, 1984.

Heiser, W.J. and Meulman, J.J. Smoothed monotone regression. Workshop "Nonmetric Data

Analysis", Paris, France, July, 1983.

Meulman, J.J. Stability of constrained multidimensional scaling solutions. Third European Meeting

of the Psychometric Society, Jouy-en Josas, France, July, 1983.

Meulman, J.J. Homogeneity analysis of incomplete data. Annual Meeting of the Psychometric

Society, Montreal, Canada, May, 1982.

.

Organization of Scientific Meetings

Member of the Scientific Program and Organizing Committee of the 68th Annual Meeting of the

Psychometric Society, Sardinia, Italy, July 2003.

Member of the Scientific Program and Organizing Committee of the 11th International Meeting of

the Psychometric Society, Osaka, Japan, July 2001.

Member of the Scientific Program Committee of IFCS-2000, The 8th Conference of the

International Federation of Classification Societies, Namur, Belgium, July, 2000.

Member of the Scientific Program Committee of the 7th Meeting of the International Federation of

Classification Societies, Rome, Italy, July, 1998.

Member of the Scientific Program and Organizing Committee of the 63rd Annual Meeting of the

Psychometric Society, Champaign-Urbana, June, 1998.

Member of the Scientific Program Committee of the 10th European Meeting of the Psychometric

Society, Santiago de Compostella, Spain, July, 1997.

Member of the International Program Committee of the 6th Meeting of the International Federation

of Classification Societies, Kobe, Japan, March, 1996.

Meulman, J.J., Chair of the Organizing Committee and Member of the Scientific Program

Committee of the 9th European Meeting of the Psychometric Society, Leiden, the

Netherlands, July, 1995.

Co-organizer of ECAS 1993, the fourth European Course in Advanced Statistics on "the Analysis of

Categorical Data". Leiden, September, 1993.

Member of the Scientific Organizing Committee of Distancia '92, an international meeting on

distance analysis. Rennes, June, 1992.


Member of the Scientific Organizing Committee of the European Meeting of the Psychometric

Society, University of Leuven, Leuven, July, 1989.

Session Organizer Generalized Canonical Analysis I and II, "Multiway '88", Università di Roma "La

Sapienza", Rome, March, 1988.

Member of the Scientific Organizing Committee of "Multiway '88", international meeting on the

analysis of multiway data matrices, Università di Roma "La Sapienza", Rome, March, 1988.

Co-organizer of the Workshop "Graphical Models", Leiden, February, 1988

Co-organizer of the Workshop "Path analysis of spatio-temporally autocorrelated data", Aachen,

July, 1987.

Co-organizer of the Workshop "Multidimensional Data Analysis", Pembroke College, Cambridge

University, Cambridge, June, 1985.

.Co-organizer of the "Table Ronde sur l'Analyse des Donnees", Laboratoire de Statistique,

Université Paul Sabatier, Toulouse, January, 1984.

Advanced Courses and Special Seminars on Multivariate Data Analysis

Meulman, J.J., Groenen, P.J.F., & Commandeur, J.J.F. (1999). Optimal Scaling Techniques for the

Graphical Representation of Multivariate Categorical Data. IOPS Graduate Course. Faculty of

Social Sciences, Leiden University, 19 - 23 April 1999.

Meulman, J.J. (1999). Optimal Scaling Techniques for the Graphical Representation of Multivariate

Categorical Data. Graduate Course. Department of Psychology, University of Illinois at

Champaign, March - April 1999.

Meulman, J.J. , Heiser, W.J. and Kroonenberg, P.M. (1999). Applied Multivariate Data Analysis.

ISED Graduate Course. Faculty of Social Sciences, Leiden University, January - June 1999.

Meulman, J.J. (1998). Optimal Scaling Methods for Multivariate Categorical Data Analysis.

Seminar. SPSS Europe, Leiden, March 5-6, 1998.

Meulman, J.J. , Heiser, W.J. and Kroonenberg, P.M. (1997). Applied Multivariate Data Analysis.

ISED Graduate Course. Faculty of Social Sciences, Leiden University, September 1996 -

June 1997.

Meulman, J.J. (1997). SPSS Categories: Theory and Applications. Seminar. SPSS Chicago,

November 13-14, 1997.

Meulman, J.J. (1997). Multivariate data analysis using optimal scoring methods. Seminar.

University of Neuchatel, Switzerland, June 20, 1997.

Meulman, J.J. (1996). Analysis of ranking data and Likert scales by multidimensional methods.

Seminar Mathematical Applications. Ciba-Geigy, Basel, Switzerland, January 31, 1996.


Heiser, W.J., Van der Kloot, W.A., Meulman, J.J., Commandeur, J.J.F., Groenen, P.J.F., Zielman,

B.J.W., & Busing, F.M.T.A. (1995). Multidimensional Scaling and Cluster Analysis. IOPS

Graduate Course. Faculty of Social Sciences, Leiden University, May 29 - June 1, 1995.

Heiser, W.J., Meulman, J.J., and Kroonenberg, P.M. (1994). Applied Multivariate Data Analysis.

ISED Graduate Course. Faculty of Social Sciences, Leiden University, January - December

1994.

Heiser, W.J., Meulman, & J.J., (1993). Multidimensional Scaling. ISED Graduate Course, Faculty

of Social Sciences, Leiden University, January-June 1993.

Gower, J.C., Meulman, J.J. et al (1992). Biplots. IOPS Graduate Course, Faculty of Social

Sciences, Leiden University, 1992.

Heiser, W.J., Meulman, J.J., and Kroonenberg, P.M. (1992). Applied Multivariate Data Analysis.

ISED Graduate Course, Faculty of Social Sciences, Leiden University, September-December

1992.

Meulman, J.J. (1991). Nonlinear Multivariate Analysis. Graduate Course, Department of

Psychology, University of Illinois at Champaign-Urbana, USA, March-May 1991.

Meulman, J.J. (1990). Multidimensional Scaling and Unfolding. Seminar, Department of

Mathematical Applications, Ciba-Geigy, Basel, Switzerland, February, 1990.

Heiser, W.J. & Meulman, J.J. (1989). Nonlinear Multivariate Analysis. IOPS, Inter-University

Graduate School for Psychometrics and Sociometrics, September, 1989.

Meulman, J.J. (1988). Nonlinear Multivariate Data Analysis, Graduate Course, Department of

Psychology, McGill University, Montréal, Canada, October- November 1988.

Meulman, J.J. & Heiser, W.J. (1988). Applied Multivariate Statistics, Seminar, Department of

Mathematical Applications, Ciba-Geigy, Basel, Switzerland, January-December 1988.

De Leeuw, J., Heiser, W.J., Van der Burg, E., Meulman, J.J. et al (1981). Nonlinear Multivariate

Analysis. Postdoctoral Course, Department of Data Theory, Leiden, September, 1981.

De Leeuw, J., Heiser, W.J., Van der Burg, E., Meulman, J.J. et al (1980). Nonlinear Multivariate

Analysis. Postdoctoral Course, Department of Data Theory, Leiden, March, 1980.

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