Key research line: Heterogeneity, Dependencies, Associations and Dynamics
Description
Central in this research line is the intense interaction between formal modelling and data analysis on one hand and theoretical developments and research questions on the other hand. The primary application area is in psychometrics (with important branches in the psychology of individual differences and the psychology of emotions). The secondary application area is bioinformatics.
A broad class of families of statistical models is used is this research line. A central family is that of (generalized) linear and non-linear models (with a prominent place for models from the Item Response theory). A second central family consists of (unsupervised) clustering models (included mixture models), where specific attention goes to simultaneous classification methods (included multi-way classification techniques). Other families of models that are studied intensively are diffusion models (for representing reaction time data and dynamical processes) and dimensional reduction models (e.g. models for multi-way component analysis and models for more dimensional enfolding, among others).
PI-contactperson
Prof. Dr. Iven Van Mechelen
