Home
Teaser image to Deriving interpretable thresholds for variable importance in random forests by permutation

 

Colloquium

Deriving Interpretable Thresholds for Variable Importance in Random Forests by Permutation

Maria Blanco, Staburo GmbH
Tim Müller, Staburo GmbH
Laura Schlieker, Staburo GmbH
Armin Ott, Staburo GmbH
Hannes Buchner, Staburo GmbH

   10.05.2023

   4:15 pm - 5:45 pm

   LMU Munich, Department of Statistics and via zoom

In clinical research, discovering predictive biomarkers is vital for precision medicine. The authors propose a variation of Random Forests, categorizing variables as confirmed, tentative, or rejected. Simulations and real datasets demonstrate its effectiveness in visually presenting multiple criteria.

#lecture

Related

Link to Correlation Robust Inference When Economic Distance Is Latent

Colloquium  •  28.10.2026  •  LMU Munich, Department of Statistics and via zoom

Correlation Robust Inference When Economic Distance Is Latent

28.10.26, 4:15-5:45 pm: Ulrich Müller from Princeton University

Read more
Back to Top

0001-01-01 - Last modified: 2026-01-21