I am Assistant Professor of Statistics at the University of Bonn.

My research interests focus on functional data analysis, semi- and nonparametric statistics, and panel data analysis.



  • Liebl, D., Mosler, K., and Willwacher, S. (2012). Robust clustering of joint moment curves. 9. Symposium der Sektion Sportinformatik der Deutschen Vereinigung für Sportwissenschaft. Edited by: Byshko, R., Dahmen, T., Gratkowski, M., Gruber, M., Quintana, J., Saupe, D., Vieten, M., Woll, A., pp. 68-73

  • Liebl, D. (2013). Modeling and forecasting electricity prices: A functional data perspective. The Annals of Applied Statistics, 7(3): 1562-1592

  • Bada, O. and Liebl, D. (2014). The R-package phtt: Panel data analysis with heterogeneous time trends. Journal of Statistical Software, 59(6): 1-33

  • Liebl, D., Willwacher, S., Hamill, J. and Brüggemann, G. P. (2014). Ankle plantarflexion strength in rearfoot and forefoot runners: A novel clusteranalytic approach. Human Movement Science, 35: 104-125

  • Liebl, D., and Kneip, A. (2014). Modelling electricity prices as functional data on random domains. Contributions in Infinite-Dimensional Statistics and Related Topics, Proceedings of the 3rd International Workshop on Functional and Operatorial Statistics. Edited by: Bongiorno, E.G., Salinelli, E., Goia, A., Vieu, P., pp. 90-97

  • Walders, F., and Liebl, D. (2017). Parameter regimes in partially functional linear regression for panel data. Functional Statistics and Related Fields. Edited by: Aneiros, G., Bongiorno, E.G., Cao, R., Vieu, P., pp. 261-270

Working Papers

Work in Progress

  • A subsampled penalty criterion to estimate the number of non-vanishing common factors in large panels (with O. Bada)

  • Take of your shoes! Analyzing the foot strike behavior of habitual shod runners when running barefoot (with S. Willwacher, J. Hamill, and G. P. Brüggemann)

  • On the minor role of bandwidth selection when smoothing sparse to dense functional data

  • Generalized functional linear models with points of impact (with D. Poß, A. Kneip, H. Eisenbarth, and T. Wager)

  • Observe the Unobservable: Firm Value and Firm-Specific Heterogeneity in Time Trends (with J. Gider)

  • Life-cycle Wage Trajectories with Missing Data: A Factor Analytic Approach (with P. Pinger)

Teaching Portfolio


  • Together with my co-author Oualid Bada, I am the creator and maintainer of the R-package phtt. The package provides estimation procedures for panel data with general forms of unobservable heterogeneous effects.

Institutions & Affiliations

University of Bonn.

Hausdorff Center for Mathematics.

German Sport University Cologne.


  • My former life took (mostly) place in dojos, where I used to wear a judogi.