Jan Schepers

Contact information

Jan Schepers
Tiensestraat 102
3000 Leuven


Phone: (+32) 16 326095
Fax: (+32) 16 325993

 

Research interests

• Three-way modeling
• Hierarchical classes analysis (Hiclas)

Publications

Group by: Type / Year & Type

International journal articles

• 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., & Hofmans, J. (2009). TwoMP: A MATLAB graphical user interface for two-mode partitioning. Behavior Research Methods, 41, 507-514. doi:10.3758/BRM.41.2.507
• 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. (2011). A two-mode clustering method to capture the nature of the dominant interaction pattern in large profile data matrices. Psychological Methods, 16, 361-371. doi:10.1037/a0024446
• 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.
• 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

Chapters in books

• 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.
• Janssen, R., Schepers, J., & Peres, D. (2004). Models with item group predictors. In P. De Boeck & M. Wilson (Eds.), Explanatory item response models: A generalized linear and nonlinear approach (pp. 189-212). New York: Springer.

Software