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

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

Bio

2014-present: Assistant Professor of Statistics at the Institute for Financial Economics and Statistics, University of Bonn
2013-2014: Postdoctoral Researcher at the European Center for Advanced Research in Economics and Statistics, Université Libre de Bruxelles
2010-2013: Research Assistant at the Institute for Econometrics and Statistics, University of Cologne
2010: Research Stay at the Working Group STAPH, Université Toulouse-III-Paul-Sabathier
2008-2010: PhD Fellow at the Cologne Graduate School

Publications

Liebl, D., and Walders, F. (2018). Parameter regimes in partial functional panel regression. Econometrics and Statistics. in press. arXiv
Liebl, D. (2018). Inference for sparse and dense functional data with covariate adjustments. Journal of Multivariate Analysis. in press. arXiv
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
Bada, O. and Liebl, D. (2014). phtt: Panel Data Analysis with Heterogeneous Time Trends in R. Journal of Statistical Software, 59(6): 1-33
Liebl, D., and Kneip, A. (2014). Modelling electricity prices as functional data on random domains. Contributions in Infinite-Dimensional Statistics and Related Topics. Edited by: Bongiorno, E. G., Salinelli, E., Goia, A., Vieu, P., pp. 90-97
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. preprint
Liebl, D. (2013). Modeling and forecasting electricity prices: A functional data perspective. The Annals of Applied Statistics, 7(3): 1562-1592. arXiv
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

Submitted Working Papers

Liebl, D., and Rameseder, S. (2018). Partially observed functional data: The case of systematically missing parts (Under preparation for resubmission to Computational Statistics & Data Analysis. Status: minor revision. R-package PartiallyFD
Liebl, D. (2018). Nonparametric testing for differences in electricity prices: The case of the Fukushima nuclear accident (Resubmitted to The Annals of Applied Statistics)
Kneip, A., and Liebl, D. (2018). On the optimal reconstruction of partially observed functional data (Under preparation for resubmission to The Annals of Statistics)
Poß, D., Liebl, D., Eisenbarth, H., Wager, T. D., and Feldman Barrett, L. (2018). (Blinded submission to the Journal of the American Statistical Association)
Liebl, D., Rameseder, S., and Rust, C. (2018). Improving estimation in functional linear regression with points of impact: Insights into Google AdWords (Under review at the Journal of Computational and Graphical Statistics)

Work in Progress

Take off your shoes! Analyzing the foot strike behavior of habitual shod runners when running barefoot (with S. Willwacher, J. Hamill, and G. P. Brüggemann)
Footstrike adaption to barefoot running (with S. Willwacher)
A subsampled penalty criterion to estimate the number of non-vanishing common factors in large panels (with O. Bada)
On the minor role of bandwidth selection when smoothing sparse to dense functional data
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)

Talks 2018

13th German Probability and Statistics Days (GPSD), Feb. 27 - Mar. 2, University of Freiburg
Joint Research Seminar of Karl-Franzens-University of Graz and TU Graz, Mar. 6 (invited by Hans Manner and Siegfried Hörmann)
4th Conference of the International Society for Nonparametric Statistics (ISNPS), Jun. 11-15, Salerno, Italy (invited by Alicia Nieto-Reyes)
2nd Workshop on Statistics & Econometrics, Jul. 13, 2018, University of Passau (invited by Harry Haupt and Joachim Schnurbus)
2nd Satellite CRoNoS Workshop on Functional Data Analysis, Aug. 31 - Sept. 2, University of Iasi, Romania (invited by Frédéric Ferraty)
spinfortec, Sept. 6-7, TU Munich
Workshop on Functional Data Analysis and Beyond, Dec. 3-14, Creswick Melbourne, Australia (invited by Aurore Delaigle, Paul Debashis, and Frédéric Ferraty).
11th International Conference on Computational and Methodological Statistics (CMStatistics 2018), Dec. 14-16, University of Pisa, Italy (invited by Gil González Rodríguez)

Teaching Portfolio

Excerpt of past and current courses:

Advanced Statistics, Master course at the German Sport University Cologne
Main Textbook: An Introduction to Statistical Learning with Applications in R by James, G., Witten, D., Hastie, T., and Tibshirani, R.
Econometrics, PhD course at the University of Bonn
Main Textbook: Econometrics by Hayashi, F.
Nonparametric Statistics, Bachelor course at the University of Bonn
Main Textbooks: Nichtparametrische Statistische Methoden by Büning, H., Trenkler, G., and
Local Polynomial Modelling and its Applications by Fan, J. and Gijbels, I.
Computational Statistics, Master course at the University of Bonn
Main Textbooks: Monte Carlo Statistical Methods by Robert, C., Casella, G.,
All of Statistics: A Concise Course in Statistical Inference by Wasserman, L., and
Nonparametric Econometrics: Theory and Practice by Li, Q. and Racine, J. S.

Software

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.