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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 44

Monographie

Strobl, Carolin (2010): Das Rasch-Modell. Eine verständliche Einführung für Studium und Praxis. Mering: Hampp Verlag.

Zeitschriftenartikel

Komboz, Basil; Strobl, Carolin und Zeileis, Achim (2018): Tree-Based Global Model Tests for Polytomous Rasch Models. In: Educational and Psychological Measurement, Bd. 78, Nr. 1: S. 128-166

Kopf, Julia; Zeileis, Achim und Strobl, Carolin (2015): Anchor Selection Strategies for DIF Analysis. Review, Assessment, and New Approaches. In: Educational and Psychological Measurement, Bd. 75, Nr. 1: S. 22-56 [PDF, 815kB]

Kopf, Julia; Zeileis, Achim und Strobl, Carolin (2015): A Framework for Anchor Methods and an Iterative Forward Approach for DIF Detection. In: Applied Psychological Measurement, Bd. 39, Nr. 2: S. 83-103 [PDF, 408kB]

Hapfelmeier, Alexander; Hothorn, Torsten; Ulm, Kurt und Strobl, Carolin (2014): A New Variable Importance Measure for Random Forests with Missing Data. In: Statistics and Computing, Bd. 24, Nr. 1: S. 21-34

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

Strobl, Carolin; Kopf, Julia und Zeileis, Achim (2013): Rasch trees: A New Method for Detecting Differential Item Functioning in the Rasch Model. In: Psychometrika: S. 1-28

Strobl, Carolin; Wickelmaier, Florian und Zeileis, Achim (2011): Accounting for individual differences in Bradley-Terry models by means of recursive partitioning. In: Journal of Educational and Behavioral Statistics, Bd. 36, Nr. 2: S. 135-153 [PDF, 269kB]

Nicodemus, Kristin; Malley, James; Strobl, Carolin und Ziegler, Andreas (2010): The behaviour of random forest permutation-based variable importance measures under predictor correlation. In: BMC Bioinformatics: S. 11-110

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

Boulesteix, Anne-Laure und Strobl, Carolin (2009): Optimal classifier selection and negative bias in error rate estimation: An empirical study on high-dimensional prediction. In: BMC Medical Research Methodology, Bd. 9, Nr. 85

Strobl, Carolin; Malley, James und Tutz, Gerhard (2009): An introduction to recursive partitioning: Rationale, application and characteristics of classification and regression trees, bagging and random forests. In: Psychological Methods, Bd. 14, Nr. 4: S. 323-348

Strobl, Carolin; Hothorn, Torsten und Zeileis, Achim (2009): Party on! A new, conditional variable importance measure available in the party package. In: The R Journal, Bd. 1, Nr. 2: S. 14-17

Strobl, Carolin und Augustin, Thomas (2009): Adaptive selection of extra cutpoints - an approach towards reconciling robustness and interpretability in classification trees. In: Journal of Statistical Theory and Practice, Bd. 3, Nr. 1: S. 119-135

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

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

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

Paper

Abou El-Komboz, Basil; Zeileis, Achim und 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]

Kopf, Julia; Zeileis, Achim und 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 und 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 und Boulesteix, Anne-Laure (November 2012): An AUC-based Permutation Variable Importance Measure for Random Forests. Department of Statistics: Technical Reports, Nr. 130 [PDF, 470kB]

Boulesteix, Anne-Laure; Bender, Andreas; Lorenzo Bermejo, Justo und 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]

Eugster, Manuel J. A.; Leisch, Friedrich und 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]

Kopf, Julia; Augustin, Thomas und 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]

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

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

Boulesteix, Anne-Laure und 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 und 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 und 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 und 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 und Huettmann, Falk (2009): Alternative methods to quantify variable importance in ecology. Department of Statistics: Technical Reports, Nr. 65 [PDF, 161kB]

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

Strobl, Carolin und 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]

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

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

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

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

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]

Buchbeitrag

Kopf, Julia; Augustin, Thomas und Strobl, Carolin (2013): The potential of Model-based recursive partitioning in the social sciences. Revisiting Ockham's Razor. In: McArdle, John J. und Ritschard, Gilbert (Hrsg.): Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences. New York: Routledge, Taylor & Francis Group. S. 75-95

Tutz, Gerhard und Strobl, Carolin (2010): Generalisierte lineare Modelle. In: Schmitz, Bernhard und Holling, Heinz (Hrsg.): Handbuch der psychologischen Methoden und Evaluation. Göttingen: Hogrefe Verlag. S. 461-471

Strobl, Carolin; Kopf, Julia und Zeileis, Achim (2010): Wissen Frauen weniger oder nur das Falsche? Ein statistisches Modell für unterschiedliche Aufgaben-Schwierigkeiten in Teilstichproben. In: Trepte, Sabine und Verbeet, Markus (Hrsg.): Allgemeinbildung in Deutschland - Erkenntnisse aus dem SPIEGEL-Studentenpisa. Wiesbaden: Springer VS. S. 255-272

Strobl, Carolin; Dittrich, Christian; Seiler, Christian; Hackensperger, Sandra und Leisch, Friedrich (2010): Measurement and predictors of a negative attitude towards statistics among LMU students. In: Kneib, Thomas (Hrsg.): Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Heidelberg: Physica-Verlag. S. 217-230

Diese Liste wurde am Sun Mar 17 00:08:56 2024 CET erstellt.