Ariane Hanebeck

Ariane Hanebeck is affiliated with the Department of Mathematics at the Technical University of Munich (TUM). Her research focuses on statistical methodologies, probability theory, and their applications in risk analysis and data science. She has contributed to advancements in distribution function estimation, observability of Gaussian models, and vine copula-based modeling.

Her work integrates mathematical rigor with practical applications, such as improving flight safety through model correction and addressing challenges in nonlinear system observability. Notable collaborations include projects with the TUM-ICL Mathematical Sciences Hub and participation in research groups like Data Science and Probability Theory.

Publications include contributions to the Annals of the Institute of Statistical Mathematics and the International Conference on Information Fusion. Though inactive in certain platforms, her research remains impactful in areas like statistical simulation and risk assessment.