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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Springe zu: 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005
Anzahl der Publikationen: 28 .

2014

Abou El-Komboz, Basil; Zeileis, Achim; Strobl, Carolin (16. Januar 2014): Detecting Differential Item and Step Functioning with Rating Scale and Partial Credit Trees. Department of Statistics: Technical Reports, Nr. 152 [PDF, 548kB]

2013

Kopf, Julia; Zeileis, Achim; Strobl, Carolin (24. November 2013): Anchor selection strategies for DIF analysis: Review, assessment, and new approaches. Department of Statistics: Technical Reports, Nr. 150 [PDF, 497kB]

Kopf, Julia; Zeileis, Achim; Strobl, Carolin (13. März 2013): Anchor methods for DIF detection: A comparison of the iterative forward, backward, constant and all-other anchor class. Department of Statistics: Technical Reports, Nr. 141 [PDF, 549kB]

Janitza, Silke; Strobl, Carolin; Boulesteix, Anne-Laure: An AUC-based permutation variable importance measure for random forests. In: BMC Bioinformatics 2013, 14:119 [PDF, 296kB]

2012

Janitza, Silke; Strobl, Carolin; Boulesteix, Anne-Laure (November 2012): An AUC-based Permutation Variable Importance Measure for Random Forests. Department of Statistics: Technical Reports, Nr. 130 [PDF, 470kB]

2011

Boulesteix, Anne-Laure; Bender, Andreas; Lorenzo Bermejo, Justo; Strobl, Carolin (2. Mai 2011): Random forest Gini importance favors SNPs with large minor allele frequency. Department of Statistics: Technical Reports, Nr. 106 Briefings in Bioinformatics, 13 [PDF, 962kB]

2010

Eugster, Manuel J. A.; Leisch, Friedrich; Strobl, Carolin (9. März 2010): (Psycho-)Analysis of Benchmark Experiments. A Formal Framework for Investigating the Relationship between Data Sets and Learning Algorithms. Department of Statistics: Technical Reports, Nr. 78 [PDF, 785kB]

Rieger, Anna; Hothorn, Torsten; Strobl, Carolin (2010): Random Forests with Missing Values in the Covariates. Department of Statistics: Technical Reports, Nr. 79 [PDF, 394kB]

Strobl, Carolin; Kopf, Julia; Zeileis, Achim (2010): A new method for detecting differential item functioning in the Rasch model. Department of Statistics: Technical Reports, Nr. 92 [PDF, 407kB]

Kopf, Julia; Augustin, Thomas; Strobl, Carolin (2010): The potential of model-based recursive partitioning in the social sciences - Revisiting Ockham's Razor. Department of Statistics: Technical Reports, Nr. 88 [PDF, 661kB]

Nicodemus, Kristin K.; Malley, James D.; Strobl, Carolin; Ziegler, Andreas: The behaviour of random forest permutation-based variable importance measures under predictor correlation. In: BMC Bioinformatics 2010, 11:110 [PDF, 663kB]

2009

Boulesteix, Anne-Laure; Strobl, Carolin (8. Mai 2009): Optimal classifier selection and negative bias in error rate estimation: An empirical study on high-dimensional prediction. Department of Statistics: Technical Reports, Nr. 58 BMC Medical Research Methodology (accepted for publication) [PDF, 321kB]

Strobl, Carolin; Wickelmaier, Florian; Zeileis, Achim (April 2009): Accounting for Individual Differences in Bradley-Terry Models by Means of Recursive Partitioning. Department of Statistics: Technical Reports, Nr. 54 [PDF, 536kB]

Strobl, Carolin; Malley, James; Tutz, Gerhard (April 2009): An Introduction to Recursive Partitioning: Rationale, Application and Characteristics of Classification and Regression Trees, Bagging and Random Forests. Department of Statistics: Technical Reports, Nr. 55 [PDF, 974kB]

Strobl, Carolin; Hothorn, Torsten; Zeileis, Achim (11. Februar 2009): Party on! A New, Conditional Variable Importance Measure for Random Forests Available in the party Package. Department of Statistics: Technical Reports, Nr. 50 [PDF, 274kB]

Oppel, Steffen; Strobl, Carolin; Huettmann, Falk (2009): Alternative methods to quantify variable importance in ecology. Department of Statistics: Technical Reports, Nr. 65 [PDF, 161kB]

Boulesteix, Anne-Laure; Strobl, Carolin: Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction. In: BMC Medical Research Methodology 2009, 9:85 [PDF, 377kB]

2008

Strobl, Carolin; Boulesteix, Anne-Laure; Kneib, Thomas; Augustin, Thomas; Zeileis, Achim (28. März 2008): Conditional Variable Importance for Random Forests. Department of Statistics: Technical Reports, Nr. 23 [PDF, 394kB]

Strobl, Carolin; Zeileis, Achim (30. Januar 2008): Danger: High Power! – Exploring the Statistical Properties of a Test for Random Forest Variable Importance. Department of Statistics: Technical Reports, Nr. 17 [PDF, 323kB]

Strobl, Carolin; Boulesteix, Anne-Laure; Kneib, Thomas; Augustin, Thomas; Zeileis, Achim: Conditional variable importance for random forests. In: BMC Bioinformatics 2008, 9:307 [PDF, 396kB]

2007

Boulesteix, Anne-Laure; Strobl, Carolin; Weidinger, S.; Wichmann, Heinz-Erich; Wagenpfeil, S. (2007): Multiple testing for SNP-SNP interactions. Department of Statistics: Technical Reports, Nr. 4 [PDF, 928kB]

Boulesteix, Anne-Laure; Strobl, Carolin; Augustin, Thomas; Daumer, Martin (2007): Evaluating microarray-based classifiers: an overview. Department of Statistics: Technical Reports, Nr. 5 [PDF, 422kB]

Strobl, Carolin; Boulesteix, Anne-Laure; Zeileis, Achim; Hothorn, Torsten: Bias in random forest variable importance measures: Illustrations, sources and a solution. In: BMC Bioinformatics 2007, 8:25 [PDF, 368kB]

2006

Boulesteix, Anne-Laure; Strobl, Carolin (2006): Maximally selected chi-square statistics and umbrella orderings. Sonderforschungsbereich 386, Discussion Paper 476 [PDF, 272kB]

Strobl, Carolin; Boulesteix, Anne-Laure; Zeileis, Achim; Hothorn, Torsten (2006): Bias in Random Forest Variable Importance Measures: Illustrations, Sources and a Solution. Sonderforschungsbereich 386, Discussion Paper 490 [PDF, 574kB]

2005

Strobl, Carolin (2005): Variable Selection Bias in Classification Trees Based on Imprecise Probabilities. Sonderforschungsbereich 386, Discussion Paper 419 [PDF, 325kB]

Strobl, Carolin (2005): Statistical Sources of Variable Selection Bias in Classification Tree Algorithms Based on the Gini Index. Sonderforschungsbereich 386, Discussion Paper 420 [PDF, 196kB]

Strobl, Carolin; Boulesteix, Anne-Laure; Augustin, Thomas (2005): Unbiased split selection for classification trees based on the Gini Index. Sonderforschungsbereich 386, Discussion Paper 464 [PDF, 237kB]

Diese Liste wurde am Sat Dec 3 15:09:31 2016 CET erstellt.