Publikationen von Timo von Oertzen

Brehmer, Y., Li, S.-C., Müller, V., von Oertzen, T., & Lindenberger, U. (2007). Memory plasticity across the life span: Uncovering children's latent potential. Developmental Psychology, 43(2), 465–478. https://doi.org/10.1037/0012-1649.43.2.465

Hertzog, C., Lindenberger, U., Ghisletta, P., & von Oertzen, T. (2006). On the power of multivariate latent growth curve models to detect correlated change. Psychological Methods, 11(3), 244–252. https://doi.org/10.1037/1082-989X.11.3.244

Li, S.-C., von Oertzen, T., & Lindenberger, U. (2006). A neurocomputational model of stochastic resonance and aging. Neurocomputing, 69(13-15), 1553–1560. https://doi.org/10.1016/j.neucom.2005.06.015

von Oertzen, T. (2006). Exact computation of polynomial zeros expressible by square roots. Algorithmica, 46, 119–136. https://doi.org/10.1007/s00453-006-0071-2

Brandmaier, A. M., von Oertzen, T., McArdle, J. J., & Lindenberger, U. (2014). Exploratory data mining with structural equation model trees. In J. J. McArdle & G. Ritschard (Eds.), Contemporary issues in exploratory data mining in the behavioral sciences (pp. 96–127). Routledge.

von Oertzen, T., Ghisletta, P., & Lindenberger, U. (2010). Simulating statistical power in latent growth curve modeling: A strategy for evaluating age-based changes in cognitive resources. In M. W. Crocker & J. Siekmann (Eds.), Resource-adaptive cognitive processes (pp. 95–117). Springer. https://doi.org/10.1007/978-3-540-89408-7_6

Demaine, E. D., Demaine, M. L., Fleischer, R., Hearn, R. A., & von Oertzen, T. (2009). The complexity of Dyson Telescopes puzzle. In M. H. Albert & R. J. Nowakowski (Eds.), Games of no chance 3 (pp. 271–285). Cambridge University Press.

Lindenberger, U., & von Oertzen, T. (2006). Variability in cognitive aging: From taxonomy to theory. In E. Bialystok & F. I. M. Craik (Eds.), Lifespan cognition: Mechanisms of change (pp. 297–314). Oxford University Press.

Brehmer, Y., Müller, V., von Oertzen, T., & Lindenberger, U. (2004). Episodic memory in childhood and old age: The role of cortical coherence. In A. Mecklinger, H. Zimmer, & U. Lindenberger, Bound in memory: Insights from behavioral and neuropsychological studies (pp. 69–91). Shaker.

Omar, A., von Oertzen, T., & Augustin, T. (2022). Learning from categorical data subject to non-random misclassification and non-response under prior quasi-near-ignorance using an imprecise Dirichlet model. In D. Ciucci, I. Couso, J. Medina, D. Ślęzak, D. Petturiti, B. Bouchon-Meunier, & R. R. Yager (Eds.), Information processing and management of uncertainty in knowledge-based systems, 19th International Conference, IPMU 2022, Milan, Italy, July 11–15, 2022. Proceedings: Part II (pp. 532–544). Springer. https://doi.org/10.1007/978-3-031-08974-9_43