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Forschung

Forschungsinteressen

  • Spatio-Temporal Data Analysis
  • Age-Period-Cohort Analysis
  • Image Classification
  • Predictive Modelling

Publikationen

  • Bauer, A., Weigert, M., and Jalal, H. (2022). APCtools: Descriptive and Model-based Age-Period-Cohort Analysis. Journal of Open Source Software, 7(73), 4056. doi:10.21105/joss.04056.
  • Zumeta-Olaskoaga, L., Weigert, M., Larruskain, J., Bikandi, E., Setuain, J., Lekue, J., Küchenhoff, H., and Lee, D.-J. (2021). Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models. AStA Adv Stat Anal. doi:10.1007/s10182-021-00428-2
  • Mittermeier, M., Weigert, M., and Rügamer, D. (2021). Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach. NeurIPS 2021, Tackling Climate Change with Machine Learning. arXiv:2111.05303.
  • Weigert, M., Bauer, A., Gernert, J., Karl, M., Nalmpatian, A., Küchenhoff, H., and Schmude, J. (2021). Semiparametric APC analysis of destination choice patterns: Using generalized additive models to quantify the impact of age, period, and cohort on travel distances. Tourism Economics. doi:10.1177/1354816620987198.
  • Keppler, A. M., Küßner, K., Schulze, A. L., Suero, E. M., Neuerburg, C., Weigert, M., Braun, C., Böcker, W., Kammerlander, C., and Zeckey, C. (2021). Radiographic cortical thickness parameters as predictors of rotational alignment in proximal tibial shaft fractures: a cadaveric study. BMC Musculoskeletal Disorders, 22(1), 1-11. doi:10.1186/s12891-021-04452-w.
  • Zeckey, C., Späth, A., Kieslich, S., Kammerlander, C., Böcker, W., Weigert, M., and Neuerburg, C. (2020). Early Mobilization Versus Splinting After Surgical Management of Distal Radius Fractures: Results of a Randomized Controlled Study of Postoperative Care in Older Patients. Deutsches Ärzteblatt International. doi: 10.3238/arztebl.2020.0445.

Software

  • R-Paket APCtools: Routines for Descriptive and Model-Based APC Analysis (GitHub, CRAN)

Präsentationen und Poster

  • Weigert, M., Mittermeier, M., Rügamer, D., Küchenhoff, H., and Ludwig, R. (2022). Classification of atmospheric circulation patterns using a smoothed deep learning approach. In DAGStat Conference, 2022, Hamburg.
  • Weigert, M., Bauer, A., Gernert, J., Karl, M., Küchenhoff, H., and Schmude, J. (2020). Visualization techniques for semiparametric APC analysis–Using Generalized Additive Models to examine touristic travel distances. In 35th International Workshop on Statistical Modelling 2020, online (p. 450).
    (Poster)
  • Schmude, J., Weigert, M., Bauer, A., Karl, M., Gernert, J., Küchenhoff, H., and Bartl, E. (2020). Spatio-temporal changes in travel behavior: Analyzing external and internal temporal effects on destination choices. In Consumer Behavior in Tourism Symposium–CBTS, 2020, online. ZPID (Leibniz Institute for Psychology).

Abschlussarbeiten

  • R and SAS - A Benchmarking Analysis in  the Context of Machine Learning for Binary Classification Problems
    Master of Science, Ludwig-Maximilians-Universität München (2017).
  • Ökologische Inferenz bei der Vergabe von Erst- und Zweitstimme bei Bundestagswahlen in Deutschland - Ein Vergleich verschiedener Methoden
    Bachelor of Science, Ludwig-Maximilians-Universität München (2015).

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