Publikationen von Andreas M. Brandmaier

Buchkapitel (5)

2024
Buchkapitel
Brandmaier, A. M. (2024). Machine learning for mobile sensing data. In M. R. Mehl, M. Eid, C. Wrzus, G. M. Harari, & U. W. Ebner-Priemer (Eds.), Mobile sensing in psychology: Methods and applications (pp. 409–431). Guilford Press.
Buchkapitel
Brandmaier, A. M. (2024). Big data dimensionality reduction methods. In M. R. Mehl, M. Eid, C. Wrzus, G. M. Harari, & U. W. Ebner-Priemer (Eds.), Mobile sensing in psychology: Methods and applications (pp. 456–476). Guilford Press.
2023
Buchkapitel
Brandmaier, A. M., & Jacobucci, R. C. (2023). Machine learning approaches to structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (2nd ed., pp. 722–739). Guilford Press.
2018
Buchkapitel
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.
2014
Buchkapitel
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.

Hochschulschrift - Doktorarbeit (2)

2023
Hochschulschrift - Doktorarbeit
Peikert, A. (2023). Towards transparency and Open Science: A principled perspective on computational reproducibility and preregistration [Doktorarbeit, Humboldt-Universität zu Berlin]. https://doi.org/10.18452/27056
2011
Hochschulschrift - Doktorarbeit
Brandmaier, A. M. (2011). Permutation distribution clustering and structural equation model trees [Doktorarbeit, Universität des Saarlandes Saarbrücken].

Forschungspapier (2)

2017
Forschungspapier
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.
2012
Forschungspapier
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).

Preprint (4)

2024
Preprint
Brandmaier, A. M., Lindenberger, U., & McCormick, E. M. (2024). Optimal two-time point longitudinal models for estimating individual-level change: Asymptotic insights and practical implications. PsyArXiv, March 6, 2024. https://doi.org/10.31234/osf.io/6dc8e
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