Prof. Dr. Nadja Klein

Profil

Derzeitige Stellung	Professor W-3 und Äquivalente
Fachgebiet	Statistik,Künstliche Intelligenz und Maschinelle Lernverfahren
Keywords	machine learning, distributional regression, mathematical statistics, Bayesian statistics, uncertainty quantification
Auszeichnungen	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

Aktuelle Kontaktadresse

Land	Deutschland
Ort	Karlsruhe
Universität/Institution	Karlsruher Institut für Technologie (KIT)
Institut/Abteilung	Steinbuch Centre for Computing (SCC)

Gastgeber*innen während der Förderung

Prof. Dr. Michael Stanley Smith	Melbourne Business School, University of Melbourne, Carlton
Beginn der ersten Förderung	01.07.2016

Programm(e)

2015	Feodor Lynen-Forschungsstipendien-Programm für Postdocs

Publikationen (Auswahl)

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,