Carolin Strobl

ORCID

Publication Activity (10 Years)

Years Active: 2005-2020
Publications (10 Years): 2

Top Venues

BMC Bioinform.

Briefings Bioinform.

Stat. Comput.

Comput. Stat. Data Anal.

Ludwig Maximilian University of Munich, Germany (PHD)

Education History

Ludwig Maximilian University of Munich, Germany

PHD

Publications

Dries Debeer, Carolin Strobl
Conditional permutation importance revisited. BMC Bioinform. 21 (1) (2020)
Anne-Laure Boulesteix, Silke Janitza, Alexander Hapfelmeier, Kristel Van Steen, Carolin Strobl
Letter to the Editor: On the term 'interaction' and related phrases in the literature on Random Forests. Briefings Bioinform. 16 (2) (2015)
Manuel J. A. Eugster, Friedrich Leisch, Carolin Strobl
(Psycho-)analysis of benchmark experiments: A formal framework for investigating the relationship between data sets and learning algorithms. Comput. Stat. Data Anal. 71 (2014)
Alexander Hapfelmeier, Torsten Hothorn, Kurt Ulm, Carolin Strobl
A new variable importance measure for random forests with missing data. Stat. Comput. 24 (1) (2014)
Silke Janitza, Carolin Strobl, Anne-Laure Boulesteix
An AUC-based permutation variable importance measure for random forests. BMC Bioinform. 14 (2013)
Anne-Laure Boulesteix, Andreas Bender, Justo Lorenzo Bermejo, Carolin Strobl
Random forest Gini importance favours SNPs with large minor allele frequency: impact, sources and recommendations. Briefings Bioinform. 13 (3) (2012)
Kristin K. Nicodemus, James D. Malley, Carolin Strobl, Andreas Ziegler
The behaviour of random forest permutation-based variable importance measures under predictor correlation. BMC Bioinform. 11 (2010)
Carolin Strobl, Torsten Hothorn, Achim Zeileis
Party on! R J. 1 (2) (2009)
Carolin Strobl, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin, Achim Zeileis
Conditional variable importance for random forests. BMC Bioinform. 9 (2008)
Carolin Strobl, Anne-Laure Boulesteix, Thomas Augustin
Unbiased split selection for classification trees based on the Gini Index. Comput. Stat. Data Anal. 52 (1) (2007)
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeileis, Torsten Hothorn
Bias in random forest variable importance measures: Illustrations, sources and a solution. BMC Bioinform. 8 (2007)
Anne-Laure Boulesteix, Carolin Strobl
Maximally selected Chi-squared statistics and non-monotonic associations: An exact approach based on two cutpoints. Comput. Stat. Data Anal. 51 (12) (2007)
Carolin Strobl
Variable Selection in Classification Trees Based on Imprecise Probabilities. ISIPTA (2005)

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Publication Activity (10 Years)

Top Topics

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Carolin Strobl