Project Description
Statistics is the science of uncertainty, variability, and heterogeneity. As such, we explore its toolbox, from providing foundational, yet simple frameworks for uncertainty in machine learning (Gruber et al., 2023) to providing computational tools to analyze uncertain data (e.g., in archaeology).
Contact Person
Patrick Oliver Schenk
Publications
- Gruber, C., Schenk, P. O., Schierholz, M., Kreuter, F., Kauermann, G. (2023). Sources of Uncertainty in Machine Learning -- A Statisticians' View. arXiv. https://arxiv.org/abs/2305.16703
- Schenk, P. O., Reuß, S..Handling and Analyzing Uncertain Data (in Archeology and Beyond)