Dr. Marléne Baumeister

Statistical inference for hypothesis testing in general factorial designs:

• methodologically: use of empirical process theory
• resampling methods such as bootstrap and permutation
• (simultaneous) multiple testing problems
• quantile-based testing
• functional data

• Lecture and exercise in Industrial Data Science I (WS 24/25)
• Industrial Data Science II (SS 23, SS 24)
• Exercise in Industrial Data Science I (WS 22/23, WS 23/24)
• Exercise in Nichtparametrik und robuste Statistik (SS 2021)
• Exercise in Statistische Verfahren (WS 2021/22)

Research Experience

• Since Oct. 2021: Research Assistant at the Department of Statistics

Studies

• Dr. rer. Nat. (Statistics): TU Dortmund University, 2025. Title of the dissertation: Empirical process theory for robust inference in multivariate analyses and multiple testing.
• M.Sc. (Statistics): TU Dortmund University, 2021. Master's thesis: Quantile-based MANOVA: A new tool for inferring multivariate data in factorial designs.
• Studies of Mathematical Ecomomics (M.Sc.): Bielefeld University, 2017 - 2018. Not completed.
• B.Sc. (Mathematics and Philosophy): Bielefeld University, 2017. Bachelor's thesis: Riesz's representation theorem.