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ORCIDCarolin Strobl
Person information
- affiliation: University of Zurich, Department of Psychology, Switzerland
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2020 – today
- 2020
[j12]Dries Debeer
, Carolin Strobl:
Conditional permutation importance revisited. BMC Bioinform. 21(1): 307 (2020)
2010 – 2019
- 2015
- [j11]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): 338-345 (2015) - 2014
- [j10]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: 986-1000 (2014) - [j9]Alexander Hapfelmeier, Torsten Hothorn, Kurt Ulm, Carolin Strobl:
A new variable importance measure for random forests with missing data. Stat. Comput. 24(1): 21-34 (2014) - 2013
- [j8]Silke Janitza, Carolin Strobl, Anne-Laure Boulesteix:
An AUC-based permutation variable importance measure for random forests. BMC Bioinform. 14: 119 (2013) - 2012
- [j7]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): 292-304 (2012) - 2010
- [j6]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: 110 (2010)
2000 – 2009
- 2009
- [j5]Carolin Strobl, Torsten Hothorn, Achim Zeileis:
Party on! R J. 1(2): 14 (2009) - 2008
- [b1]Carolin Strobl:
Statistical issues in machine learning: towards reliable split selection and variable importance measures. Ludwig Maximilian University of Munich, Germany, Cuvillier 2008, ISBN 978-3-86727-661-0, pp. 1-179 - [j4]Carolin Strobl, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin, Achim Zeileis:
Conditional variable importance for random forests. BMC Bioinform. 9 (2008) - 2007
- [j3]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) - [j2]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): 6295-6306 (2007) - [j1]Carolin Strobl, Anne-Laure Boulesteix, Thomas Augustin:
Unbiased split selection for classification trees based on the Gini Index. Comput. Stat. Data Anal. 52(1): 483-501 (2007) - 2005
- [c1]Carolin Strobl:
Variable Selection in Classification Trees Based on Imprecise Probabilities. ISIPTA 2005: 340-348
Coauthor Index
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