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 Rameseder, S. (2018). Partially observed functional data: The case of systematically missing parts. Computational Statistics & Data Analysis. in press. arXiv R-package

• Liebl, D., and Walders, F. (2018). Parameter regimes in partial functional panel regression. Econometrics and Statistics. in press. arXiv Supplementary Paper

• 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 R-package

• 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 R-codes

• Liebl, D. (2013). Contributions to functional data analysis with applications to modeling time series and panel data. PhD-Thesis - University of Cologne

• 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

• Kneip, A., and Liebl, D. (2018). On the optimal reconstruction of partially observed functional data (Resubmitted to The Annals of Statistics) R-package

• Liebl, D. (2018). Nonparametric testing for differences in electricity prices: The case of the Fukushima nuclear accident (Under preparation for resubmission to The Annals of Applied Statistics. Status: Minor Revision)

• 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

• Super-consistent estimation of points of impact in nonparametric regression with functional predictors (with Poß, D., Kneip, A., Eisenbarth, H., Wager, T. D., and Feldman Barrett, L.)

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

• Footstrike adaption to barefoot running (with Willwacher, S.)

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

• 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 Gider, J.)

• Life-cycle wage trajectories with missing data: A factor analytic approach (with Pinger, P.)

Recent & Upcoming Talks

• 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, Debashis Paul, 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:

• Short lecture A Gentle Introduction to Functional Data Analysis at the University of Passau
  Main Textbook: Introduction to Functional Data Analysis by Kokoszka, P., and Reimherr, M.
  Course Material

• 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.
  

Refereeing

The Annals of Applied Statistics (AOAS), Journal of Time Series Analysis (JTSA), Computational Statistics & Data Analysis (CSDA), Journal of the Royal Statistical Society: Series B (JRSSB), Statistical Modeling: An International Journal (SMIJ), Advances in Statistical Analysis (AStA), Journal of Sport and Health Science (JSHS), Journal of Applied Statistics (JAS), Energy Economics (ENEECO), Journal of Statistical Planning and Inference (JSPI), Journal of Multivariate Analysis (JMVA), Statistica Sinica (SS)

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.

• R-package PartiallyFD (developed by my co-author Stefan Rameseder)

• R-package ReconstPoFD

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Institutions & Affiliations

Miscellaneous

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