Publikationen von Andreas M. Brandmaier

Brandmaier, A. M. (in press). Machine learning for mobile sensing data. In M. Mehl, M. Eid, C. Wrzus, G. Harari, & U. Ebner-Priemer (Eds.), Mobile sensing in psychology: Methods and applications. Guilford Press.

Brandmaier, A. M. (in press). Big data dimensionality reduction. In M. Mehl, M. Eid, C. Wrzus, G. Harari, & U. Ebner-Priemer (Eds.), Mobile sensing in psychology: Methods and applications. Guilford Press.

Brandmaier, A. M., & Jacobucci, R. C. (in press). Machine-learning approaches to structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (2nd rev. ed.). Guilford Press.

Brandmaier, A. M., Driver, C. C., & Voelkle, M. C. (2018). Recursive partitioning in continuous time analysis. In K. van Montfort, J. H. L. Oud, & M. C. Voelkle (Eds.), Continuous time modeling in the behavioral and related sciences (pp. 259–282). Springer.

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.

Brandmaier, A. M. (2011). Permutation distribution clustering and structural equation model trees [Doktorarbeit, Universität des Saarlandes Saarbrücken].

Peikert, A. (2020). Reproducibility made simple: Automating reproducible research workflows [Masterarbeit, Humboldt-Universität zu Berlin].

Krause, M. (2017). Decoding digit representations from EEG data [Masterarbeit, Freie Universität Berlin].

Brandmaier, A. M., Ram, N., Wagner, G. G., & Gerstorf, D. (2017). Terminal decline in well-being: The role of multi-indicator constellations of physical health and psychosocial correlates (SOEPpapers on Multidisciplinary Panel Data Research No. 912). DIW.

Wrzus, C., Brandmaier, A. M., von Oertzen, T., Müller, V., Wagner, G. G., & Riediger, M. (2012). A new approach for assessing sleep duration and postures from ambulatory accelerometry (SOEPpapers on Multidisciplinary Panel Data Research No. 507).