Iven Van Mechelen

Contact information

Iven Van Mechelen
Tiensestraat 102
3000 Leuven


Phone: (+32) 16 326131
Fax: (+32) 16 325993

 

Research interests

• Clustering methods (including mixture modeling)
• Hierarchical classes (HICLAS) and pobability matrix decomposition models
• Models for multiway and multiset data
• Contextualized study of individual differences in personality, emotions, and affective dynamics

Professional services

• President-elect of the International Federation of Classification Societies (IFCS) (See also IFCS-2011 conference)

Publications

Group by: Type / Year & Type

International journal articles

• Berkhof, J., Van Mechelen, I., & Gelman, A. (2003). A Bayesian approach to the selection and testing of mixture models. Statistica Sinica, 13, 423-442.
• Berkhof, J., Van Mechelen, I., & Hoijtink, H. (2000). Posterior predictive checks: Principles and discussion. Computational Statistics, 15, 337-354. doi:10.1007/s001800000038
• Bollaerts, K., Eilers, P. H. C., & Van Mechelen, I. (2006). Simple and multiple P-splines regression with shape constraints. British Journal of Mathematical & Statistical Psychology, 59, 451-469. doi:10.1348/000711005X84293
• Ceulemans, E., Kuppens, P., & Van Mechelen, I. (in press). Capturing the structure of distinct types of individual differences in the situation-specific experience of emotions: The case of anger. European Journal of Personality.
• Ceulemans, E., & Van Mechelen, I. (2003). Uniqueness of N-way N-mode hierarchical classes models. Journal of Mathematical Psychology, 47, 259-264. doi:10.1016/S0022-2496(03)00002-6
• Ceulemans, E., & Van Mechelen, I. (2004). Tucker2 hierarchical classes analysis. Psychometrika, 69, 375-399. doi:10.1007/BF02295642
• Ceulemans, E., & Van Mechelen, I. (2005). Hierarchical classes models for three-way three-mode binary data: Interrelations and model selection. Psychometrika, 70, 461-480. doi:10.1007/s11336-003-1067-3
• Ceulemans, E., & Van Mechelen, I. (2008). CLASSI: A classification model for the study of sequential processes and individual differences therein. Psychometrika, 73, 107-124. doi:10.1007/s11336-007-9024-1
• Ceulemans, E., Van Mechelen, I., & Kuppens, P. (2004). Adapting the formal to the substantive: Constrained Tucker3-HICLAS. Journal of Classification, 21, 19-50. doi:10.1007/s00357-004-0004-1
• Ceulemans, E., Van Mechelen, I., & Leenen, I. (2003). Tucker3 hierarchical classes analysis. Psychometrika, 68, 413-433. doi:10.1007/BF02294735
• Ceulemans, E., Van Mechelen, I., & Leenen, I. (2007). The local minima problem in hierarchical classes analysis: An evaluation of a simulated annealing algorithm and various multistart procedures. Psychometrika, 72, 377-391. doi:10.1007/s11336-007-9000-9
• Claes, L., Van Mechelen, I., & Vertommen, H. (2004). Assessment of situation-behavior profiles and their guiding cognitive and affective processes: A case study from the domain of aggressive behaviors. European Journal of Psychological Assessment, 20, 216-226. doi:10.1027/1015-5759.20.4.216
• Depril, D., Van Mechelen, I., & Mirkin, B. G. (2008). Algorithms for additive clustering of rectangular data tables. Computational Statistics & Data Analysis, 52, 4923-4938. doi:10.1016/j.csda.2008.04.014
• Depril, D., Van Mechelen, I., & Wilderjans, T. F. (in press). Lowdimensional additive overlapping clustering. Journal of Classification.
• Frederickx, S., Kuppens, P., Tuerlinckx, F., & Van Mechelen, I. (2009). Desequens: An R-package for the variance decomposition of sequential processes. Behavior Research Methods, 41, 524-530. doi:10.3758/BRM.41.2.524
• Frederickx, S., & Van Mechelen, I. (2012). Identifying the situational triggers underlying avoidance of communication situations and individual differences therein. Personality and Individual Differences, 52, 438-443. doi:10.1016/j.paid.2011.11.004
• Gelman, A., Goegebeur, Y., Tuerlinckx, F., & Van Mechelen, I. (2000). Diagnostic checks for discrete-data regression models using posterior predictive simulations. Applied Statistics, 49, 247-268. doi:10.1111/1467-9876.00190
• Gelman, A., Leenen, I., Van Mechelen, I., De Boeck, P., & Poblome, J. (2010). Bridges between deterministic and probabilistic models for binary data. Statistical Methodology, 7, 187-209. doi:10.1016/j.stamet.2009.08.005
• Gelman, A., Van Mechelen, I., Verbeke, G., Heitjan, D. F., & Meulders, M. (2005). Multiple imputation for model checking: Completed-data plots with missing and latent data. Biometrics, 61, 74-85. doi:10.1111/j.0006-341X.2005.031010.x
• Kiers, H. A. L., & Van Mechelen, I. (2001). Three-way component analysis: Principles and illustrative application. Psychological Methods, 6, 84-110. doi:10.1037/1082-989X.6.1.84
• Kuppens, P., & Van Mechelen, I. (2007). Interactional appraisal models for the anger appraisals of threatened self-esteem, other-blame, and frustration. Cognition & Emotion, 21, 56-77. doi:10.1080/02699930600562193
• Kuppens, P., Van Mechelen, I., & Meulders, M. (2004). Every cloud has a silver lining: Interpersonal and individual differences determinants of anger-related behaviors. Personality and Social Psychology Bulletin, 30, 1550-1564. doi:10.1177/0146167204271176
• Kuppens, P., Van Mechelen, I., Nezlek, J. B., Dossche, D., & Timmermans, T. (2007). Individual differences in core affect variability and their relationship to personality and adjustment. Emotion, 7, 262-274. doi:10.1037/1528-3542.7.2.262
• Kuppens, P., Van Mechelen, I., & Rijmen, F. (2008). Towards disentangling sources of individual differences in appraisal and anger. Journal of Personality, 76, 969-1000. doi:10.1111/j.1467-6494.2008.00511.x
• Kuppens, P., Van Mechelen, I., Smits, D. J. M., & De Boeck, P. (2003). The appraisal basis of anger: Specificity, necessity and sufficiency of components. Emotion, 3, 254-269. doi:10.1037/1528-3542.3.3.254
• Kuppens, P., Van Mechelen, I., Smits, D. J. M., & De Boeck, P. (2004). Associations between emotions: Correspondence across different data types and componential basis. European Journal of Personality, 18, 159-176. doi:10.1002/per.507
• Kuppens, P., Van Mechelen, I., Smits, D. J. M., De Boeck, P., & Ceulemans, E. (2007). Individual differences in patterns of appraisal and anger experience. Cognition & Emotion, 21, 689-713. doi:10.1080/02699930600859219
• Leenen, I., & Van Mechelen, I. (2001). An evaluation of two algorithms for hierarchical classes analysis. Journal of Classification, 18, 57-80. doi:10.1007/s00357-001-0005-2
• Leenen, I., & Van Mechelen, I. (2004). A conjunctive parallelogram model for pick any/n data. Psychometrika, 69, 401-420. doi:10.1007/BF02295643
• Leenen, I., Van Mechelen, I., & De Boeck, P. (1999). A generic disjunctive/conjunctive decomposition model for n ary relations. Journal of Mathematical Psychology, 43, 102-122. doi:10.1006/jmps.1998.1226
• Leenen, I., Van Mechelen, I., & De Boeck, P. (2001). Models for ordinal hierarchical classes analysis. Psychometrika, 66, 389-404. doi:10.1007/BF02294441
• Leenen, I., Van Mechelen, I., De Boeck, P., & Rosenberg, S. (1999). INDCLAS: A three-way hierarchical classes model. Psychometrika, 64, 9-24. doi:10.1007/BF02294316
• Leenen, I., Van Mechelen, I., & Gelman, A. (2000). Bayesian probabilistic extensions of a deterministic classification model. Computational Statistics, 15, 355-371. doi:10.1007/s001800000039
• Leenen, I., Van Mechelen, I., Gelman, A., & De Knop, S. (2008). Bayesian hierarchical classes analysis. Psychometrika, 73, 39-64. doi:10.1007/s11336-007-9038-8
• Lombardi, L., & Van Mechelen, I. (2005). Conjunctive prediction of an ordinal criterion variable on the basis of binary predictors. Discrete Applied Mathematics, 147, 91-100. doi:10.1016/j.dam.2004.06.023
• Meulders, M., De Boeck, P., Kuppens, P., & Van Mechelen, I. (2002). Constrained latent class analysis of three-way three-mode data. Journal of Classification, 19, 277-302. doi:10.1007/s00357-001-0046-6
• Meulders, M., De Boeck, P., & Van Mechelen, I. (2001). Probability matrix decomposition models and main-effects generalized linear models for the analysis of replicated binary associations. Computational Statistics & Data Analysis, 38, 217-233. doi:10.1016/S0167-9473(01)00029-9
• Meulders, M., De Boeck, P., & Van Mechelen, I. (2003). A taxonomy of latent structure assumptions for probability matrix decomposition models. Psychometrika, 68, 61-77. doi:10.1007/BF02296653
• Meulders, M., De Boeck, P., Van Mechelen, I., & Gelman, A. (2005). Probabilistic feature analysis of facial perception of emotions. Journal of the Royal Statistical Society, Series C (Applied Statistics), 54, 781-793. doi:10.1111/j.1467-9876.2005.00515.x
• Meulders, M., De Boeck, P., Van Mechelen, I., Gelman, A., & Maris, E. (2001). Bayesian inference with probability matrix decomposition models. Journal of Educational and Behavioral Statistics, 26, 153-179. doi:10.3102/10769986026002153
• Nezlek, J. B., Vansteelandt, K., Van Mechelen, I., & Kuppens, P. (2008). Appraisal-emotion relationships in daily life. Emotion, 8, 145-150. doi:10.1037/1528-3542.8.1.145
• Pieters, G., Vansteelandt, K., Claes, L., Probst, M., Van Mechelen, I., & Vandereycken, W. (2006). The usefulness of experience sampling in understanding the urge to move in anorexia nervosa. Acta Neuropsychiatrica, 18, 30-37. doi:10.1111/j.0924-2708.2006.00121.x
• Schepers, J., Ceulemans, E., & Van Mechelen, I. (2008). Selecting among multi-mode partitioning models of different complexities: A comparison of four model selection criteria. Journal of Classification, 25, 67-85. doi:10.1007/s00357-008-9005-9
• Schepers, J., & Van Mechelen, I. (2010). Uniqueness of real-valued hierarchical classes models. Journal of Mathematical Psychology, 54, 215-221. doi:10.1016/j.jmp.2009.12.006
• Schepers, J., & Van Mechelen, I. (in press). A two-mode clustering method to capture the nature of the dominant interaction pattern in large profile data matrices. Psychological Methods.
• Schepers, J., Van Mechelen, I., & Ceulemans, E. (2006). Three-mode partitioning. Computational Statistics & Data Analysis, 51, 1623-1642. doi:10.1016/j.csda.2006.06.002
• Schepers, J., Van Mechelen, I., & Ceulemans, E. (in press). The real-valued model of hierarchical classes. Journal of Classification.
• Smits, D. J. M., De Boeck, P., Kuppens, P., & Van Mechelen, I. (2002). The structure of negative emotion scales: Generalization over contexts and comprehensiveness. European Journal of Personality, 16, 127-141. doi:10.1002/per.436
• Storms, G., De Boeck, P., Hampton, J. A., & Van Mechelen, I. (1999). Predicting conjunctive typicalities by component typicalities. Psychonomic Bulletin & Review, 6, 677-684.
• Storms, G., De Boeck, P., Van Mechelen, I., & Ruts, W. (1998). Not guppies, nor goldfish, but tumble dryers, Noriega, Jesse Jackson, panties, car crashes, bird books, and Stevie Wonder. Memory and Cognition, 26, 143-145.
• Thorrez, L., Laudadio, I., Van Deun, K., Quintens, R., Hendrickx, N., Granvik, M., Lemaire, K., Schraenen, A., Van Lommel, L., Lehnert, S., Aguayo-Mazzucato, C., Cheng-Xue, R., Gilon, P., Van Mechelen, I., Bonner-Weir, S., Lemaigre, F., & Schuit, F. (2011). Tissue-specific disallowance of housekeeping genes: The other face of cell differentiation. Genome Research, 21, 95-105. doi:10.1101/gr.109173.110
• Thorrez, L., Van Deun, K., Tranchevent, L., Van Lommel, L., Engelen, K., Marchal, K., Moreau, Y., Van Mechelen, I., & Schuit, F. (2008). Using ribosomal protein genes as reference: A tale of caution. PLoS ONE, 3, e1854, 1-8. doi:10.1371/journal.pone.0001854
• Timmermans, T., Van Mechelen, I., & Kuppens, P. (2010). The relationship between individual differences in intraindividual variability in core affect and interpersonal behaviour. European Journal of Personality, 24, 623-638. doi:10.1002/per.756
• Timmermans, T., Van Mechelen, I., & Nezlek, J. B. (2009). Individual differences in core affect reactivity. Personality and Individual Differences, 47, 510-515. doi:10.1016/j.paid.2009.05.002
• Van Coillie, H., & Van Mechelen, I. (2006). A taxonomy of anger-related behaviors in young adults. Motivation and Emotion, 30, 57-74. doi:10.1007/s11031-006-9000-6
• Van Coillie, H., & Van Mechelen, I. (2006). Expected consequences of anger-related behaviours. European Journal of Personality, 20, 137-154. doi:10.1002/per.580
• Van Coillie, H., Van Mechelen, I., & Ceulemans, E. (2006). Multidimensional individual differences in anger-related behaviours. Personality and Individual Differences, 41, 27-38. doi:10.1016/j.paid.2006.01.007
• Vande Gaer, E., Ceulemans, E., Van Mechelen, I., & Kuppens, P. (2012). The CLASSI-N method for the study of sequential processes. Psychometrika, 77, 85-105. doi:10.1007/S11336-011-9235-3
• van den Berg, R. A., Van Mechelen, I., Wilderjans, T. F., Van Deun, K., Kiers, H. A. L., & Smilde, A. K. (2009). Integrating functional genomics data using maximum likelihood based simultaneous component analysis. BMC Bioinformatics, 10, 340. doi:10.1186/1471-2105-10-340
• Van Deun, K., Hoijtink, H., Thorrez, L., Van Lommel, L., Schuit, F., & Van Mechelen, I. (2009). Testing the hypothesis of tissue-selectivity: The Intersection-Union Test and a Bayesian approach. Bioinformatics, 25, 2588-2594. doi:10.1093/bioinformatics/btp439
• Van Deun, K., Marchal, K., Heiser, W., Engelen, K., & Van Mechelen, I. (2007). Joint mapping of genes and conditions via multidimensional unfolding analysis. BMC Bioinformatics, 8, 181. doi:10.1186/1471-2105-8-181
• Van Deun, K., Smilde, A. K., van der Werf, M. J., Kiers, H. A. L., & Van Mechelen, I. (2009). A structured overview of simultaneous component based data integration. BMC Bioinformatics, 10, 246. doi:10.1186/1471-2105-10-246
• Van Deun, K., Wilderjans, T. F., van den Berg, R. A., Antoniadis, A., & Van Mechelen, I. (2011). A flexible framework for sparse simultaneous component based data integration. BMC Bioinformatics, 12, 448. doi:10.1186/1471-2105-12-448
• Van Mechelen, I. (2009). A royal road to understanding the mechanisms underlying person-in-context behavior. Journal of Research in Personality, 43, 179-186. doi:10.1016/j.jrp.2008.12.012
• Van Mechelen, I., Bock, H.-H., & De Boeck, P. (2004). Two-mode clustering methods: A structural overview. Statistical Methods in Medical Research, 13, 363-394. doi:10.1191/0962280204sm373ra
• Van Mechelen, I., & De Raad, B. (1999). Editorial: Personality and situations. European Journal of Personality, 13, 333-336. doi:10.1002/(SICI)1099-0984(199909/10)13:5<333::AID-PER364>3.0.CO;2-O
• Van Mechelen, I., & Hennes, K. (2009). The appraisal basis of anger occurrence and intensity revisited. Cognition & Emotion, 23, 1373-1388. doi:10.1080/02699930902958297
• Van Mechelen, I., & Kiers, H. A. L. (1999). Individual differences in anxiety responses to stressful situations: A three-mode component analysis model. European Journal of Personality, 13, 409-428. doi:10.1002/(SICI)1099-0984(199909/10)13:5<409::AID-PER360>3.0.CO;2-I
• Van Mechelen, I., Lombardi, L., & Ceulemans, E. (2007). Hierarchical classes modeling of rating data. Psychometrika, 72, 475-488. doi:10.1007/s11336-007-9018-z
• Van Mechelen, I., & Schepers, J. (2007). A unifying model involving a categorical and/or dimensional reduction for multimode data. Computational Statistics & Data Analysis, 52, 537-549. doi:10.1016/j.csda.2007.03.001
• Van Mechelen, I., & Smilde, A. K. (2010). A generic linked-mode decomposition model for data fusion. Chemometrics and Intelligent Laboratory Systems, 104, 83-94. doi:10.1016/j.chemolab.2010.04.012
• Van Mechelen, I., & Smilde, A. K. (2011). Comparability problems in the analysis of multiway data. Chemometrics and Intelligent Laboratory Systems, 106, 2-11. doi:10.1016/j.chemolab.2010.08.006
• Vansteelandt, K., Pieters, G., Vandereycken, W., Claes, L., Probst, M., & Van Mechelen, I. (2004). Hyperactivity in anorexia nervosa: A case study using experience sampling methodology. Eating Behaviors, 5, 67-74. doi:10.1016/S1471-0153(03)00062-X
• Vansteelandt, K., & Van Mechelen, I. (1998). Individual differences in situation-behavior profiles: A triple typology model. Journal of Personality and Social Psychology, 75, 751-765. doi:10.1037/0022-3514.75.3.751
• Vansteelandt, K., & Van Mechelen, I. (2004). The personality triad in balance: Multi-dimensional individual differences in situation-behavior profiles. Journal of Research in Personality, 38, 367-393. doi:10.1016/j.jrp.2003.08.001
• Vansteelandt, K., & Van Mechelen, I. (2006). Individual differences in anger and sadness: In pursuit of active situational features and psychological processes. Journal of Personality, 74, 871-909. doi:10.1111/j.1467-6494.2006.00395.x
• Vansteelandt, K., Van Mechelen, I., & Nezlek, J. B. (2005). The co-occurrence of emotions in daily life: A multilevel approach. Journal of Research in Personality, 39, 325-335. doi:10.1016/j.jrp.2004.05.006
• Verduyn, P., Delvaux, E., Van Coillie, H., Tuerlinckx, F., & Van Mechelen, I. (2009). Predicting the duration of emotional experience: Two experience sampling studies. Emotion, 9, 83-91. doi:10.1037/a0014610
• Verduyn, P., Van Mechelen, I., & Frederix, E. (in press). Determinants of the shape of emotion intensity profiles. Cognition & Emotion.
• Verduyn, P., Van Mechelen, I., & Tuerlinckx, F. (2011). The relation between event processing and the duration of emotional experience. Emotion, 11, 20-28. doi:10.1037/a0021239
• Verduyn, P., Van Mechelen, I., Tuerlinckx, F., Meers, K., & Van Coillie, H. (2009). Intensity profiles of emotional experience over time. Cognition & Emotion, 23, 1427-1443. doi:10.1080/02699930902949031
• Wilderjans, T. F., Ceulemans, E., & Van Mechelen, I. (2008). The CHIC model: A global model for coupled binary data. Psychometrika, 73, 729-751. doi:10.1007/s11336-008-9069-9
• Wilderjans, T. F., Ceulemans, E., & Van Mechelen, I. (2009). Simultaneous analysis of coupled data blocks differing in size: A comparison of two weighting schemes. Computational Statistics and Data Analysis, 53, 1086-1098. doi:10.1016/j.csda.2008.09.031
• Wilderjans, T. F., Ceulemans, E., & Van Mechelen, I. (in press). The SIMCLAS model: Simultaneous analysis of coupled binary data matrices with noise heterogeneity between and within data blocks. Psychometrika.
• Wilderjans, T. F., Ceulemans, E., Van Mechelen, I., & Depril, D. (2011). ADPROCLUS: A graphical user interface for fitting additive profile clustering models to object by variable data matrices. Behavior Research Methods, 43, 56-65. doi:10.3758/s13428-010-0033-0
• Wilderjans, T. F., Ceulemans, E., Van Mechelen, I., & van den Berg, R. A. (2011). Simultaneous analysis of coupled data matrices subject to different amounts of noise. British Journal of Mathematical and Statistical Psychology, 64, 277-290. doi:10.1348/000711010X513263
• Wilderjans, T. F., Depril, D., & Van Mechelen, I. (in press). Additive biclustering: A comparison of one new and two existing ALS algorithms. Journal of Classification.
• Wilderjans, T. F., Depril, D., & Van Mechelen, I. (in press). Block-relaxation approaches for fitting the INDCLUS model. Journal of Classification.

Special issues

• Van Mechelen, I., & De Raad, B. (Eds.). (1999). Personality and situations [Special issue]. European Journal of Personality, 13(5).
• Van Mechelen, I., & Hoijtink, H. (Eds.). (2000). Special issue on Bayesian computational statistics [Special issue]. Computational Statistics, 15(3).

Chapters in books

• Ceulemans, E., & Van Mechelen, I. (2003). An algorithm for HICLAS-R models. In M. Schader, W. Gaul, & M. Vichi (Eds.), Between data science and applied data analysis: Studies in classification, data analysis, and knowledge organization (pp. 173-181). Heidelberg: Springer.
• Depril, D., & Van Mechelen, I. (2005). One-mode additive clustering of multiway data. In J. Janssen & P. Lenca (Eds.), Applied stochastic models and data analysis (pp. 724-729). Brest, France: ENST Bretagne.
• De Schutter, B., Schepers, J., & Van Mechelen, I. (2006). On algorithms for a binary-real (max,x) matrix approximation problem. In Proceedings of the 45th IEEE Conference on Decision & Control (pp. 5168-5173). San Diego: IEEE Control System Society.
• Leenen, I., & Van Mechelen, I. (1998). A branch-and-bound algorithm for Boolean regression. In I. Balderjahn, R. Mathar, & M. Schader (Eds.), Classification, data analysis, and data highways (pp. 164-171). Berlin: Springer.
• Lombardi, L., Ceulemans, E., & Van Mechelen, I. (2003). A hierarchical classes approach to discriminant analysis. In M. Schader, W. Gaul, & M. Vichi (Eds.), Between data science and applied data analysis: Studies in classification, data analysis, and knowledge organization (pp. 296-304). Heidelberg: Springer.
• Meulders, M., De Boeck, P., & Van Mechelen, I. (2002). Rater classification on the basis of latent features in responding to situations. In W. Gaul & G. Ritter (Eds.), Classification, automation, and new media (pp. 453-461). Berlin: Springer.
• Meulders, M., Gelman, A., Van Mechelen, I., & De Boeck, P. (1998). Generalizing the probabibility matrix decomposition model: An example of Bayesian model checking and model expansion. In J. Hox (Ed.), Assumptions, robustness, and estimation methods in multivariate modeling (pp. 1-19). Amsterdam: TT-publikaties.
• Van Mechelen, I., Bock, H.-H., & De Boeck, P. (2005). Two-mode clustering methods. In B. Everitt & D. Howell (Eds.), Encyclopedia of behavioral statistics (pp. 2081-2086). Chichester: Wiley.
• Van Mechelen, I., & Leenen, I. (1998). Predicting a binary criterion variable on the basis of binary predictors: The combination rule analysis approach. In K. C. Klauer & H. Westmeyer (Eds.), Psychologische Methoden und Soziale Prozesse (pp. 136-153). Lengerich, Germany: Pabst.
• Van Mechelen, I., & Van Deun, K. (2010). Multiple nested reductions of single data modes as a tool to deal with large data sets. In Y. Lechevallier & G. Saporta (Eds.), Proceedings of COMPSTAT'2010. 19th International Conference on Computational Statistics (pp. 349-358). Heidelberg: Physica-Verlag.
• Van Mechelen, I., Verduyn, P., & Brans, K. (in press). The duration of emotional episodes. In D. Hermans, B. Rimé, & B. Mesquita (Eds.), Changing emotions. London: Psychology Press.

Software

Teaching