3 papers
math.ST2025
A Central Limit Theorem for the permutation importance measure
Nico Föge, Lena Schmid, Marc Ditzhaus +1
Random Forests have become a widely used tool in machine learning since their introduction in 2001, known for their strong performance in classification and regression tasks. One k…
stat.AP2025
Adapting tree-based multiple imputation methods for multi-level data? A simulation study
Nico Föge, Jakob Schwerter, Ketevan Gurtskaia +2
When data have a hierarchical structure, such as students nested within classrooms, ignoring dependencies between observations can compromise the validity of imputation procedures.…
math.ST2024
Even naive trees are consistent
Nico Föge, Markus Pauly, Lena Schmid +1
The last decade has shed some light on theoretical properties such as their consistency for regression tasks. In the current paper, we propose a new class of very simple learners b…