Prof. Dr. Nadja Klein

Profile

Academic position	Full Professor
Research fields	Statistics,Artificial Intelligence and Machine Learning Methods
Keywords	machine learning, distributional regression, mathematical statistics, Bayesian statistics, uncertainty quantification
Honours and awards	2025: Committee of Presidents of Statistical Societies (COPSS) Emerging Leader Award 2025: Helmholtz Leadership Academy 2025: Invitation to the Science and Technology in Society forum (22nd Annual Meeting, Kyoto) 2024: Helmholtz AI Associate 2022: Gustav-Adolf-Lienert-Award of the International Biometric Sociecty, German Region (IBS-DR) 2022: Nomination to AcademiaNet 2020: Awarded membership in Die Junge Akademie at the Berlin-Brandenburg Academy of Science and National Academy of Sciences Leopoldina 2015: Award of the Georg-August-Universität Göttingen for outstanding dissertation 2015: Award of the Universitätsbund Göttingen for outstanding dissertation 2015: Wolfgang-Wetzel-Price 2015 of the German Statistical Society

Current contact address

Country	Germany
City	Karlsruhe
Institution	Karlsruher Institut für Technologie (KIT)
Institute	Steinbuch Centre for Computing (SCC)

Host during sponsorship

Prof. Dr. Michael Stanley Smith	Melbourne Business School, University of Melbourne, Carlton
Start of initial sponsorship	01/07/2016

Programme(s)

2015	Feodor Lynen Research Fellowship Programme for Postdocs

Publications (partial selection)

2021	Michael Stanley Smith and Nadja Klein: Bayesian Inference for Regression Copulas. In: Journal of Business and Economic Statistics, 2021, 712-728
2021	Nadja Klein and Michael Stanley Smith: Bayesian variable selection for non-Gaussian responses: A marginally calibrated copula approach. In: Biometrics, doi:10.1111/biom.13355, 2021, 809-823
2019	Nadja Klein and Michael Stanley Smith: Implicit Copulas from Bayesian Regularized Regression Smoothers. In: Bayesian Analysis; https://projecteuclid.org/euclid.ba/1545296445, 2019,