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<!DOCTYPE html>
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<title>Dominik Liebl</title>
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<h1>Dominik Liebl</h1>
<!-- <p class="lead">
statistics. computing. hight-dimensional data.
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<p class="lead">
<font size="+3"><strong>Welcome</strong></font><br>
… to my website. I am a Professor of Statistics at the <a href="https://www.econ.uni-bonn.de/ifs/en/statistics">University of Bonn</a>.
<br>
<br>
I pursue an application oriented research approach focusing on actual real data problems that are both statistically interesting and practically relevant. Starting points of my past and current research are data challenges in (energy) economics, finance, e-commerce (e.g., Google AdWords data), emotion psychology, biomechanics, and human movement sciences.
<br>
<br>
My current methodological and theoretical research interests focus on functional data analysis, nonparametric statistics, longitudinal data analysis, simultaneous inference, and statistical fairness. Last but not least, I am committed to providing the computational implementations of my statistical research and publish R-packages at CRAN and GitHub accompanying my research papers.
</p>
<body id="bio">
<h1 id="bio">Bio</h1>
<ul>
<li>
<p><strong>2020-present</strong>: Professor of Statistics at the <a href=https://www.econ.uni-bonn.de/ifs/en/statistics>Institute of Finance and Statistics</a>, University of Bonn</p>
</li>
<li>
<p><strong>2014-2020</strong>: Assistant Professor of Statistics at the <a href=https://www.econ.uni-bonn.de/ifs/en/statistics>Institute of Finance and Statistics</a>, University of Bonn</p>
</li>
<li>
<p><strong>2019-March</strong>: Research Visit at the UC Berkeley <a href=https://simons.berkeley.edu/>Simons Institute for the Theory of Computing</a></p>
</li>
<li>
<p><strong>2013-2014</strong>: Postdoctoral Researcher at the <a href=http://ecares.ulb.ac.be>European Center for Advanced Research in Economics and Statistics</a>, Université Libre de Bruxelles</p>
</li>
<!-- <li>
<p><strong>2010-2013</strong>: Research Assistant at the <a href=http://www.wisostat.uni-koeln.de>Institute for Econometrics and Statistics</a>, University of Cologne</p>
</li> -->
<li>
<p><strong>2010</strong>: Research Visit, Working Group STAPH, Université Toulouse-III-Paul-Sabathier</p>
</li>
<li>
<p><strong>2008-2010</strong>: PhD at the <a href=http://www.wisostat.uni-koeln.de>Institute for Econometrics and Statistics</a>, University of Cologne</p>
<!-- <a href="https://cgs.uni-koeln.de/en/doctoral-phd-programmes">Cologne Graduate School</a></p> -->
</li>
<!-- <li><p><strong>2003-2008</strong>: Undergraduate Studies in Economics at the University of Bonn and the Charles University in Prague</p></li> -->
</ul>
<body id="publications">
<h1 id="publications">Publications</h1>
<h3 id="Methods">Publications in Statistics</h3>
<ul>
<li>
<p>
<strong>Liebl, D.</strong> and Reimherr M. (2023). <a href="https://doi.org/10.1093/jrsssb/qkad026">Fast and fair simultaneous confidence bands for functional parameters</a>. <em>Journal of the Royal Statistical Society, Series B</em>, 85(3), 842-868
<a href="http://arxiv.org/abs/1910.00131" class="btn btn-xs btn-success">PDF</a>
<a href="http://www.dliebl.com/ffscb/" class="btn btn-xs btn-primary">R-package</a>
</p>
</li>
<li>
<p>
Pataky, T.C., Abramowicz, K., <strong>Liebl, D.</strong>, Pini, A., Sjöstedt de Luna, S., and Schelin, L. (2023). <a href="https://doi.org/10.1007/s10182-021-00418-4">Simultaneous inference for functional data in sports biomechanics: Comparing statistical parametric mapping with interval-wise testing</a>. <em>AStA Advances in Statistical Analysis</em>, 107, 369-392
<a href="https://github.com/0todd0000/iwtspm" class="btn btn-xs btn-primary">Replication Codes</a>
</p>
</li>
<li>
<p>
Bada, O., Kneip, A., <strong>Liebl, D.</strong>, Mensinger, T., Gualtieri, J., and Sickles R. C. (2022). <a href="https://doi.org/10.1016/j.jeconom.2021.09.006" >A wavelet method for panel models with jump discontinuities in the parameters</a>. <em>Journal of Econometrics</em>, 226(2), 399-422
<a href="http://arxiv.org/abs/2109.10950" class="btn btn-xs btn-success">PDF</a>
<a href="files/Bada_et_al_2021_JOE_Supplementary_Paper.pdf" class="btn btn-xs btn-info">Supplementary Paper</a>
<a href="https://github.com/timmens/sawr/" class="btn btn-xs btn-primary">R-package</a>
<a href="https://github.com/timmens/simulation-saw-paper" class="btn btn-xs btn-primary">Replication Codes</a>
</p>
</li>
<li>
<p>
Poß, D., <strong>Liebl, D.</strong>, Kneip, A., Eisenbarth, H., Wager, T. D. and Feldman Barrett, L. (2020). <a href="http://dx.doi.org/10.1111/rssb.12386">Super-consistent estimation of points of impact in nonparametric regression with functional predictors</a>. <em>Journal of the Royal Statistical Society, Series B</em>, 82(4), 1115-1140
<a href="http://arxiv.org/abs/1905.09021" class="btn btn-xs btn-success">PDF</a>
<a href="https://github.com/lidom/fdapoi" class="btn btn-xs btn-primary">R-package</a>
</p>
</li>
<li>
<p>
<strong>Liebl, D.</strong>, Rameseder, S. and Rust, C. (2020). <a href="https://doi.org/10.1080/10618600.2020.1754224">Improving estimation in functional linear regression with points of impact: Insights into Google AdWords</a>. <em>Journal of Computational and Graphical Statistics</em>, 29(4), 814-826
<a href="https://arxiv.org/abs/1709.02166" class="btn btn-xs btn-success">PDF</a>
<a href="https://github.com/christophrust/FunRegPoI" class="btn btn-xs btn-primary">R-package</a>
</p>
</li>
<li>
<p>
Kneip, A. and <strong>Liebl, D.</strong> (2020). <a href="https://projecteuclid.org/euclid.aos/1594972835">On the optimal reconstruction of partially observed functional data</a>. <em>The Annals of Statistics</em>, 48(3), 1692-1717
<a href="https://arxiv.org/abs/1710.10099" class="btn btn-xs btn-success">PDF</a>
<a href="https://github.com/lidom/ReconstPoFD" class="btn btn-xs btn-primary">R-package</a>
</p>
</li>
<li>
<p>
<strong>Liebl, D.</strong> (2019). <a href="http://dx.doi.org/10.1214/18-AOAS1230">Nonparametric testing for differences in electricity prices: The case of the Fukushima nuclear accident</a>. <em>The Annals of Applied Statistics</em>, 13(2), 1128-1146
<a href="https://arxiv.org/abs/1711.03367" class="btn btn-xs btn-success">PDF</a>
<a href="files/Liebl_AOAS_2019_Supplementy_Paper.pdf" class="btn btn-xs btn-info">Supplementary Paper</a>
<a href="files/Liebl_AOAS_2019_Supplementary_R_Codes_and_Data.zip" class="btn btn-xs btn-primary">R-Codes & Data</a>
</p>
</li>
<li>
<p>
<strong>Liebl, D.</strong> and Rameseder, S. (2019). <a href="https://doi.org/10.1016/j.csda.2018.08.011">Partially observed functional data: The case of systematically missing parts</a>. <em>Computational Statistics & Data Analysis</em>, 131, 104-115
<a href="https://arxiv.org/abs/1711.07715" class="btn btn-xs btn-success">PDF</a>
<a href="https://github.com/stefanrameseder/PartiallyFD" class="btn btn-xs btn-primary">R-package</a>
</p>
</li>
<li>
<p>
<strong>Liebl, D.</strong> and Walders, F. (2019). <a href="https://doi.org/10.1016/j.ecosta.2018.05.003">Parameter regimes in partial functional panel regression</a>. <em>Econometrics and Statistics</em>, 11, 105-115
<a href="https://arxiv.org/abs/1709.05786" class="btn btn-xs btn-success">PDF</a>
<a href="files/Liebl_Walders_ECOSTA_2018_Supplementary_Paper.pdf" class="btn btn-xs btn-info">Supplementary Paper</a>
</p>
</li>
<li>
<p>
<strong>Liebl, D.</strong> (2019). <a href="https://doi.org/10.1016/j.jmva.2018.04.006">Inference for sparse and dense functional data with covariate adjustments</a>. <em>Journal of Multivariate Analysis</em>, 170, 315-335
<a href="https://arxiv.org/abs/1601.07780" class="btn btn-xs btn-success">PDF</a>
</p>
</li>
<li>
<p>Bada, O. and <strong>Liebl, D.</strong> (2014). <a href="http://www.jstatsoft.org/article/view/v059i06">phtt: Panel data analysis with heterogeneous time trends in R</a>. <em>Journal of Statistical Software</em>, 59(6), 1-33
<a href="https://cran.r-project.org/web/packages/phtt/index.html" class="btn btn-xs btn-primary">R-package</a>
</p>
</li>
<li>
<p><strong>Liebl, D.</strong> (2013). <a href="http://dx.doi.org/10.1214/13-AOAS652">Modeling and forecasting electricity prices: A functional data perspective</a>. <em>The Annals of Applied Statistics</em>, 7(3), 1562-1592
<a href="https://arxiv.org/abs/1310.1628" class="btn btn-xs btn-success">PDF</a>
<a href="files/Liebl_AOAS_2013_Supplementary_RCodes_and_Data.zip" class="btn btn-xs btn-primary">R-Codes & Data</a>
</p>
</li>
</ul>
<h3 id="Methods">Book Chapters & Editorials</h3>
<ul>
<li>
<p>
Groll, A. and <strong>Liebl, D.</strong> (2023). <a href="https://doi.org/10.1007/s10182-022-00453-9">Editorial special issue: Statistics in sports</a>. <em>AStA Advances in Statistical Analysis</em>, 107, 1-7
</p>
</li>
<li>
<p>
<strong>Liebl, D.</strong> and Reimherr, M. (2020).
Simultaneous Inference for Function-valued Parameters: a Fast and Fair Approach. <em>Functional and High-Dimensional
Statistics and Related Fields</em>. Edited by: Aneiros, G., Horová, I., Hužková, M. and Vieu, P., pp. 153-159
</p>
</li>
<li>
<p>
Walders, F. and <strong>Liebl, D.</strong> (2017). Parameter regimes in partially functional linear regression for panel data. <em>Functional Statistics and Related Fields</em>. Edited by: Aneiros, G., Bongiorno, E. G., Cao, R., Vieu, P., pp. 261-270
</p>
</li>
<li>
<p>
<strong>Liebl, D.</strong> and Kneip, A. (2014). Modelling electricity prices as functional data on random domains. <em>Contributions in Infinite-Dimensional Statistics and Related Topics</em>. Edited by: Bongiorno, E. G., Salinelli, E., Goia, A., Vieu, P., pp. 90-97
</p>
</li>
<li>
<p>
<strong>Liebl, D.</strong>, Mosler, K. and Willwacher, S. (2012). Robust clustering of joint moment curves. <em>9. Symposium der Sektion Sportinformatik der Deutschen Vereinigung für Sportwissenschaft</em>. Edited by: Byshko, R., Dahmen, T., Gratkowski, M., Gruber, M., Quintana, J., Saupe, D., Vieten, M., Woll, A., pp. 68-73
</p>
</li>
</ul>
<h3 id="Methods">Further Publications</h3>
<ul>
<li>
<p>
Richter, E., <strong>Liebl, D.</strong>, Schulte, B., Lehmann, N., Fuhrmann, C., Jöckel, K-H., Ioannidis, J. P. A. and Streeck, H. (2023).
<a href="https://doi.org/10.1038/s41598-023-32441-7">Analysis of fatality impact and seroprevalence surveys in a community sustaining a SARS-CoV-2 superspreading event</a>. <em>Scientific Reports</em>, 13, 5440
</p>
</li>
<li>
<p>
<strong>Liebl, D.</strong> (2022). <a href="https://doi.org/10.1016/j.gaitpost.2021.10.002">Letter to the Editor on: "Comparing Groups of Time Dependent Data Using Locally Weighted Scatterplot Smoothing Alpha-Adjusted Serial T-tests" by Niiler (2020)</a> <em>Gait & Posture</em>, 92, 477-479
<a href="files/Liebl_2020_LttE_G&P.pdf" class="btn btn-xs btn-success">preprint</a>
</p>
</li>
<li>
<p>
Warmenhoven, J., Bargary, N., <strong>Liebl, D.</strong>, Harrison, A. J., Robinson, M. A., Gunning, E. and Hooker, G. (2021). <a href="https://doi.org/10.1016/j.jbiomech.2020.110106">PCA of Waveforms and Functional PCA: A Primer for Biomechanics</a>. <em>Journal of Biomechanics</em>, 116, 110106
</p>
</li>
<li>
<p>
Hollander, K., <strong>Liebl, D.</strong>, Willwacher, S., Meining, S., Mattes, K. and Zech, A. (2019). <a href="https://doi.org/10.1177/0363546519849920">Adaptation of running biomechanics to repeated barefoot running: A randomized controlled study</a>. <em>The American Journal of Sports Medicine</em>, 47(8), 1975-1983
</p>
</li>
<li>
<p>
Pataky, T. C., Vanrenterghem, J., Robinson, M. A. and <strong>Liebl, D.</strong> (2019). <a href="https://doi.org/10.1016/j.jbiomech.2019.05.018">On the validity of statistical parametric mapping for nonuniformly and heterogeneously smooth one-dimensional biomechanical data</a>. <em>Journal of Biomechanics</em>, 91, 114-123
</p>
</li>
<li>
<p>
Hamacher, D., <strong>Liebl, D.</strong>, Hödl, C., Heßler, V., Kniewasser, C. K., Thönnessen, T. and Zech, A. (2019). <a href="https://www.frontiersin.org/articles/10.3389/fphys.2018.01955/full">Gait stability and its influencing factors in older adults</a>. <em>Frontiers in Physiology</em>, 9.
</p>
</li>
<li>
<p>
Zech, A., Meining, S., Hötting, K., <strong>Liebl, D.</strong>, Mattes, K. and Hollander, K. (2018). <a href="http://link.springer.com/article/10.1007/s00421-018-3997-6">Effects of barefoot and footwear conditions on learning of a dynamic balance task: A randomized controlled study</a>. <em>European Journal of Applied Physiology</em>, 118(12), 2699-2706.
</p>
</li>
<li>
<p>
<strong>Liebl, D.</strong>, Willwacher, S., Hamill, J. and Brüggemann, G. P. (2014). <a href="https://doi.org/10.1016/j.humov.2014.03.008">Ankle plantarflexion strength in rearfoot and forefoot runners: A novel clusteranalytic approach</a>. <em>Human Movement Science</em>, 35, 104-125
<a href="files/Liebl_et_al_HMS_2014.pdf" class="btn btn-xs btn-success">preprint</a>
</p>
</li>
</ul>
<h3 id="Methods">PhD Thesis</h3>
<ul>
<li>
<p><strong>Liebl, D.</strong> (2013). <a href="https://kups.ub.uni-koeln.de/5302/">Contributions to functional data analysis with applications to modeling time series and panel data</a>. <em>PhD-Thesis - University of Cologne</em>
</p>
</li>
</ul>
<h3 id="Methods">Open Reviews</h3>
<ul>
<li>
<p><strong>Liebl, D.</strong> (2020). <a href="https://osf.io/cdnsk/">Open Review of the Manuscript:
<em>An Analysis of Sars-Cov-2 Viral Load by Patient Age</em>
by Terry C. Jones,
Barbara Mühlemann,
Talitha Veith,
Marta Zuchowski,
Jörg Hofmann,
Angela Stein,
Anke Edelmann,
Victor Max Corman, and
Christian Drosten</a>.
</p>
</li>
</ul>
<!-- <h3 id="working-papers">Working Papers and Work in Progress</h3>
<ul> -->
<!-- <li>
<p>
<strong>Liebl, D.</strong> and Schüwer U. (2022). <a href="http://ssrn.com/abstract=3924620">Pro-Trump partisanship and COVID-19 mortality: A model-based counterfactual analysis</a>
<a href="http://ssrn.com/abstract=3924620" class="btn btn-xs btn-success">SSRN</a>
</p>
</li> -->
<!-- </ul>
<h3 id="work-in-progress">Work in Progress</h3>
<ul> -->
<!-- <li>
<p>
Liebl, D., Willwacher, S., Hamill, J. and Brüggemann, G. P. Take off your shoes! Analyzing the foot strike behavior of habitual shod runners when running barefoot
</p>
</li> -->
<!-- <li>
<p>
Creutzinger m., Liebl, D., and Sharp, J. Fair prediction bands for function on scalar regression models
</p>
</li> -->
<!-- <li>
<p>
Liebl, D. and Mensinger, T. Fair causal inference with functional data
</p>
</li>
<li>
<p>
Kneip A., Liebl, D., and Otto, S. Functional linear regression with concurrent point of impact
</p>
</li>
<li>
<p>
Bada, O. and Liebl, D. A subsampled penalty criterion to estimate the number of non-vanishing common factors in large panels
</p>
</li>
<li>
<p>
Liebl, D. On the minor role of bandwidth selection when smoothing sparse to dense functional data
</p>
</li>
<li>
<p>
Liebl, D. and Rust, C. Directed local testing in the functional linear model
</p>
</li> -->
<!-- <li>
<p>
Gider, J. and Liebl, D. Observe the unobservable: Firm value and firm-specific heterogeneity in time trends
</p>
</li> -->
<!-- </ul> -->
<!-- <body id="talks">
<h1 id="talks">Recent & Upcoming Talks</h1>
<ul> -->
<!-- <li>
<p>
Workshop on Functional Data Analysis and Beyond, Dec. 3-14, 2018, Creswick Melbourne, Australia (<strong>invited by Aurore Delaigle, Debashis Paul, and Frédéric Ferraty</strong>).
</p>
</li>
<li>
<p>
11th International Conference on Computational and Methodological Statistics (CMStatistics 2018), Dec. 14-16, 2018, University of Pisa, Italy (<strong>invited by Gil González Rodríguez</strong>)
</p>
</li>
<li>
<p>
CRoNoS & MDA 2019, 2nd Workshop on Multivariate Data and Software, Apr. 14-16, 2019, Limassol, Cyprus (<strong>invited by Alessandra Menafoglio</strong>)
</p>
</li>
<li>
<p>
3rd International Workshop on Advances in Functional Data Analysis, May 23-24, 2019, Castro Urdiales, Spain (<strong>invited by Paula Navarro</strong>)
</p>
</li> -->
<!-- <li>
<p>
Workshop on New Developments in Econometrics and Time Series, June 6-7, 2019, Graz, Austria (<strong>invited by H. Dette, M. Hallin and S. Hörmann</strong>)
</p>
</li>
<li>
<p>
European Meeting of Statisticians (EMS 2019), Jul. 22-26, 2019, Palermo, Italy (<strong>invited by Laura Sangalli</strong>)
</p>
</li> -->
<!-- <li>
<p>
10th International Workshop on Simulation and Statistics, Sept. 2-6, 2019, Salzburg, Austria (<strong>invited by Siegfried Hörmann</strong>)
</p>
</li> -->
<!-- <li>
<p>
Seminar Talk, Umeå University, Sweden, Oct. 30
</p>
</li>
<li>
<p>
Seminar Talk, University College Dublin, Ireland, Nov. 7
</p>
</li>
<li>
<p>
Seminar Talk, University Carlos III Madrid, Spain, Nov. 25
</p>
</li>
<li>
<p>
12th International Conference on Computational and Methodological Statistics (CMStatistics 2019), London, UK, Dec. 14-16, 2019 (invited by Alexander Aue)
</p>
</li>
<li>
<p>
Seminar Talk, Weierstrass Institute for Applied Analysis and Stochastics (WIAS) and Humboldt-University Berlin, Germany, Jan. 8, 2020 (invited by Sonja Greven)
</p>
</li>
<li>
<p>
International Symposium on Nonparametric Statistics (ISNPS 2020), Paphos, Cyprus, Jun. 15-19, 2020 (invited by Siegfried Hörmann)
</p>
</li>
<li>
<p>
5th International Workshop on Functional and Operatorial Statistics (IWFOS 2020), Brno, Czech Republic, Jun. 24-27, 2020 (invited by Philippe Vieu, Germán Aneiros, Ivana Horová, and Marie Hušková)
</p>
</li>
<li>
<p>
International Forum in Statistics, Bejing, China, Jul. 11-12, 2020
(invited by Regina Liu)
</p>
</li>
<li>
<p>
International Workshop: Functional and Complex Data Analysis, Bejing University, China, Aug. 23-26, 2020 (invited by Fang Yao)
</p>
</li>
</ul>
-->
<body id="editorial_service">
<h1 id="editorial_service">Editorial Services</h1>
<p class="font-weight-normal">
<ul>
<li>
<p>
<strong>Associate Editor (since 2021)</strong>, <a href="https://rss.onlinelibrary.wiley.com/journal/14679876"><em>Journal of the Royal Statistical Society: Series C</em></a>
</p>
</li>
<li>
<p>
<strong>Guest Editor</strong> (2020-2022), Special Issue: Statistics in Sports, <a href="https://www.springer.com/journal/10182"><em>AStA-Advances in Statistical Analysis</em></a> (with Andreas Groll, TU Dortmund University)
</p>
</li>
</ul>
</p>
<body id="refereeing">
<h1 id="refereeing">Refereeing</h1>
<p class="font-weight-normal">
The Annals of Statistics (AOS),
Journal of the Royal Statistical Society: Series B (JRSSB),
Journal of the American Statistical Association (JASA),
Biometrika,
The Annals of Applied Statistics (AOAS),
Journal of the Royal Statistical Society: Series C (JRSSC),
Journal of Time Series Analysis (JTSA),
Computational Statistics & Data Analysis (CSDA),
Statistical Modeling: An International Journal (SMIJ),
Advances in Statistical Analysis (AStA),
Econometrics and Statistics (ECOSTA),
Advances in Data Analysis and Classification (ADAC),
Journal of Computational and Graphical Statistics (JCGS),
Journal of Applied Statistics (JAS),
Energy Economics (ENEECO),
International Journal of Forecasting (IJF),
TEST: Journal of the Spanish Society of Statistics and Operations Research,
Journal of Statistical Planning and Inference (JSPI),
Journal of Multivariate Analysis (JMVA),
Statistica Sinica (SS),
Statistics and Probability Letters (STAPRO)
</p>
<body id="software">
<h1 id="software">Software</h1>
<ul>
<li>
<p>
Together with my co-author <a href="https://de.linkedin.com/pub/oualid-bada-ph-d/82/521/6bb">Oualid Bada</a>, I am the creator and maintainer of the R-package <a href="https://cran.r-project.org/web/packages/phtt/index.html">phtt</a>. The package provides estimation procedures for panel data with general forms of unobservable heterogeneous effects.
<!--
<a href = "http://www.r-pkg.org/pkg/phtt"><img src = "http://www.r-pkg.org/badges/version/phtt"></a>
<a href = "http://www.r-pkg.org/pkg/phtt"><img src = "http://cranlogs.r-pkg.org/badges/phtt"></a>
-->
</p>
</li>
<li>
<p>
R-package <a href="https://github.com/christophrust/FunRegPoI">FunRegPoI</a>
</p>
</li>
<li>
<p>
R-package <a href="https://github.com/lidom/PartiallyFD">PartiallyFD</a>
</p>
</li>
<li>
<p>
R-package <a href="https://github.com/lidom/ReconstPoFD">ReconstPoFD</a>
</p>
</li>
<li>
<p>
R-package <a href="https://github.com/lidom/fdapoi">fdapoi</a>
</p>
</li>
<li>
<p>
R-package
<a href="https://github.com/timmens/sawr/">sawr</a>
</p>
</li>
<li>
<p>
R-package <a href="https://github.com/lidom/ffscb">ffscb</a>
</p>
</li>
</ul>
<body id="teaching">
<h1 id="teaching">Teaching Portfolio</h1>
<h3>Excerpt of past and current courses:</h3>
<ul>
<li>
<p>
Computational Statistics/Data Science (M.Sc., B.Sc., and PhD) at the University Bonn<br>
Main Textbook: <a href="http://faculty.marshall.usc.edu/gareth-james/ISL/">Introduction to Statistical Learning</a>. Contents: Statistical Learning, Regression Analysis, Classification, Resampling Methods, Linear Model Selection and Regularization, Multiple testing, Tree-Based Methods, Functional Data Analysis, Fairness
</p>
</li>
<li>
<p>
The beginnings of a lecture script for Computational Statistics (fun side project in German): <a href="http://www.dliebl.com/Computational_Statistics_Script/">Online Skrip (German)</a>
</p>
</li>
<!-- <li>
<p>
Computational Statistics, Master course at the University of Bonn
<br>
Main Textbooks: <a href="http://www.springer.com/br/book/9780387212395">Monte Carlo Statistical Methods</a> by Robert, C., Casella, G.,
<br>
<a href="http://www.springer.com/cn/book/9780387402727">All of Statistics: A Concise Course in Statistical Inference</a> by Wasserman, L., and
<br>
<a href="http://press.princeton.edu/titles/8355.html">Nonparametric Econometrics: Theory and Practice</a> by Li, Q. and Racine, J. S.
<br>
</p>
</li> -->
<!--
<li>
<p>
Research Module in Econometrics & Statistics, Master Course at the University Bonn<br>
<!-- <a href="http://www.dliebl.com/RM_ES_Script/">Course Material</a> -->
</p>
</li>
<li>
<p>
Short lecture <a href="files/Intro2FDA.html">A Gentle Introduction to Functional Data Analysis</a> at the University of Passau<br>
Main Textbook: <a href="https://www.crcpress.com/Introduction-to-Functional-Data-Analysis/Kokoszka-Reimherr/p/book/9781498746342">Introduction to Functional Data Analysis</a> by Kokoszka, P., and Reimherr, M.<br>
<a href="https://github.com/lidom/Intro2FDA">Course Material</a>
</p>
</li>
<!-- <li>
<p>
Advanced Statistics, Master course at the German Sport University Cologne<br>
Main Textbook: <a href="http://www-bcf.usc.edu/~gareth/ISL/">An Introduction to Statistical Learning with Applications in R</a> by James, G., Witten, D., Hastie, T., and Tibshirani, R.
</p>
</li> -->
<li>
<p>
Econometrics (M.Sc. and PhD) at the University of Bonn. Contents: Probability Theory, Test Theory, Multiple Linear Regression, Small- and Large Sample Inference, Maximum Likelihood Inference, Instrumental Variable Estimation, Panel Data Analysis, Time Series Analysis, Causal Inference
<!--Main Textbook: <a href="http://press.princeton.edu/titles/6946.html">Econometrics</a> by Hayashi, F.-->
</p>
</li>
<li>
<p>
Nonparametric Statistics (B.Sc.) at the University of Bonn<br>
Main Textbooks: <a href="http://www.degruyter.com/viewbooktoc/product/45258">Nichtparametrische Statistische Methoden</a>
by Büning, H., Trenkler, G., and<br>
<a href="https://www.crcpress.com/Local-Polynomial-Modelling-and-Its-Applications-Monographs-on-Statistics/Fan-Gijbels/9780412983214">Local Polynomial Modelling and its Applications</a> by Fan, J. and Gijbels, I. Contents: Test Theory, Linear Rank Statistics, Introduction to Mathematical Statistics, Kernel Density Estimation, Nonparametric Regression Analysis
</p>
</li>
</ul>
<hr id="fundings_and_affiliations" />
<h1 id="fundings_and_affiliations">Fundings & Affiliations</h1>
<ul>
<li>
<p>
My research is generously funded by the <a href="http://www.hcm.uni-bonn.de/people/profile/dominik-liebl/">Hausdorff Center of Mathematics (HCM)</a>, a Cluster of Excellence at the University of Bonn, funded by the German Science Foundation (DFG).<br>
<figure>
<!--
<a href="https://www.uni-bonn.de/">
<img src="img/logo_uni_bonn.jpg" alt="UoB" width="150"></a><br>
<figcaption>University of Bonn.</figcaption>
<br>
-->
<a href="http://www.hcm.uni-bonn.de/people/profile/dominik-liebl/">
<img src="img/Logo_hcm_4c_xxl.gif" alt="HCM" width="200"></a><br>
<figcaption>Hausdorff Center for Mathematics.</figcaption>
<!-- <br>
<a href="https://www.dshs-koeln.de/english/">
<img src="img/Spoho.jpg" alt="SPOHO" width="65"></a><br>
<figcaption>German Sport University Cologne.</figcaption> -->
</figure>
</p>
</li>
<li>
<p>
I am member of the <a href="https://www.uni-bonn.de/en/research-and-teaching/research-profile/transdisciplinary-research-areas/tra-1-modelling/home?set_language=en">Transdisciplinary Research Area (TRA) Mathematics, Modelling and Simulation of Complex Systems</a> at the University of Bonn.
<figure>
<a href="https://www.uni-bonn.de/en/research-and-teaching/research-profile/transdisciplinary-research-areas/tra-1-modelling/home?set_language=en">
<img src="img/TRA1.png" alt="TRA1" width="135"></a><br>
<figcaption> </figcaption>
</figure>
</p>
</li>
<li>
<p>
I am Visiting Associate at the <a href="https://statistics.colostate.edu/">Department of Statistics of the Colorado State University</a>.<br>
<figure>
<a href="https://statistics.colostate.edu/">
<img src="img/CSU-Ram-357.png" alt="CSU" width="125"></a><br>
<figcaption>Colorado State University.</figcaption>
</figure>
</p>
</li>
<li>
<p>
I am member of the management committee of the <a href="https://www.cost.eu/actions/CA21163/">COST Action CA21163 - Text, functional and other high-dimensional data in econometrics: New models, methods, applications</a>, funded by the European Union.<br>
<figure>
<a href="https://www.cost.eu/actions/CA21163/">
<img src="img/cost-logo.png" alt="COST" width="200"></a><br>
<figcaption> </figcaption>
</figure>
</p>
</li>
</ul>
<body id="miscellaneous">
<h1 id="miscellaneous">Miscellaneous</h1>
<ul>
<li>
<p>My former life took (mostly) place in <a href="http://www.judoinside.com/judoka/17194/Dominik_Liebl/judo-career">dojos</a>, where I used to wear a <a href="http://www.mittelbayerische.de/sport/regional/kelheim-nachrichten/nebenbei-zweifacher-deutscher-meister-21520-art46789.html">judogi</a>.
</p>
</li>
</ul>
</div>
</div>
</div>
</div>
<hr>
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<p class="text-center"><i class="fa fa-creative-commons"></i> Dominik Liebl, 2022</p>
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