Jannik Orzek

LIFE Fellow since 2019, Humboldt-Universität zu Berlin

My main area of interest are the methods for studying how individuals change over time. For my master thesis in psychology at the Humboldt University of Berlin I introduced LASSO regularization to dynamic panel models. The objective was to improve the generalizability of models built in small samples.
As a doctoral student I will continue this research with the team of Manuel Völkle. Building on my previous work I want to expand LASSO regularization to network models built within the continuous time framework. This could provide new insight in the dynamics of change over time.

Dissertation project:

Statistical learning in psychological research: Methods and applications

Selected Publications

Boker, S. M., Daniel, K. E., & Orzek, J. H. (2023). Separating long-term equilibrium adaptation from short-term self-regulation dynamics using latent differential equations. Multivariate Behavioral Research. Advance online publication. https://doi.org/10.1080/00273171.2023.2228302

Orzek, J. H., Arnold, M., & Voelkle, M. C. (2023). Striving for sparsity: On exact and approximate solutions in regularized structural equation models. Structural Equation Modeling. Advance online publication. https://doi.org/10.1080/10705511.2023.2189070

Orzek, J. H., & Voelkle, M. C. (2023). Regularized continuous time structural equation models: A network perspective. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000550