Publications of Steven M. Boker

Boker, S. M., von Oertzen, T., Pritikin, J. N., Hunter, M. D., Brick, T. R., Brandmaier, A. M., & Neale, M. C. (2023). Products of variables in structural equation models. Structural Equation Modeling, 30(5), 708–718. https://doi.org/10.1080/10705511.2022.2141749

Klipker, K., Wrzus, C., Rauers, A., Boker, S. M., & Riediger, M. (2017). Within-person changes in salivary testosterone and physical characteristics of puberty predict boys' daily affect. Hormones and Behavior, 95, 22–32. https://doi.org/10.1016/j.yhbeh.2017.07.012

Brick, T. R., & Boker, S. M. (2011). Correlational methods for analysis of dance movements. Dance Research, 29(2), 283–304. https://doi.org/10.3366/drs.2011.0021

von Oertzen, T., & Boker, S. M. (2010). Time delay embedding increases estimation precision of models of intraindividual variability. Psychometrika, 75(1), 158–175. https://doi.org/10.1007/s11336-009-9137-9

Chow, S.-M., Hamaker, E. L., Fujita, F., & Boker, S. M. (2009). Representing time-varying cyclic dynamics using multiple-subject state-space models. British Journal of Mathematical and Statistical Psychology, 62(3), 683–716. https://doi.org/10.1348/000711008X384080

Ong, A. D., Bergeman, C. S., & Boker, S. M. (2009). Resilience comes of age: Defining features in later adulthood. Journal of Personality, 77(6), 1777–1804. https://doi.org/10.1111/j.1467-6494.2009.00600.x

Boker, S. M., Deboeck, P. R., Edler, C., & Keel, P. K. (2010). Generalized local linear approximation of derivatives from time series. In S.-M. Chow, E. Ferrer, & F. Hsieh (Eds.), Statistical methods for modeling human dynamics: An interdisciplinary dialogue (pp. 161–178). Routledge.

Boker, S. M., Montpetit, M. A., Hunter, M. D., & Bergeman, C. S. (2010). Modeling resilience with differential equations. In P. C. M. Molenaar & K. M. Newell (Eds.), Individual pathways of change: Statistical models for analyzing learning and development (pp. 183–206). American Psychological Association.

Moulder, R. (2020). Latent multivariate maximal Lyapunov exponents [PhD Thesis, University of Virginia].

Karch, J. D. (2016). A machine learning perspective on repeated measures: Gaussian process panel and person-specific EEG modeling [PhD Thesis, Humboldt-Universität zu Berlin].