Carolin Strobl

Stability Assessment of Statistical Learning Methods [R package stablelearner version 0.1-2]

Achim Zeileis, Kurt Hornik, Michel Philipp, 2020 .

Psychometric Modeling Infrastructure [R package psychotools version 0.5-1]

Achim Zeileis, Florian Wickelmaier, Carolin Strobl, 2020 .

Discussion on fifty years of classification and regression trees

Carolin Strobl, 2014 .

Measuring the Stability of Results From Supervised Statistical Learning

Kurt Hornik, Michel Philipp, Thomas Rusch, 2018, Journal of Computational and Graphical Statistics.

Alternative methods to quantify variable importance in ecology

Falk Huettmann, Carolin Strobl, Steffen Oppel, 2009 .

A Laboratory for Recursive Partytioning [R package party version 1.3-5]

Kurt Hornik, Achim Zeileis, Carolin Strobl, 2020 .

Party on! - A new, conditional variable importance measure for random forests available in party

Achim Zeileis, Carolin Strobl, A. Zeileis, 2009 .

Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction

Anne-Laure Boulesteix, Carolin Strobl, A. Boulesteix, 2009, BMC medical research methodology.

Variable Selection Bias in Classification Trees and Ensemble Methods

Carolin Strobl, 2006 .