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Number of items: 7.

Thesis

Janitza, Silke (2010): Methoden der Veränderungsmessung basierend auf dem Rasch-Modell. Bachelor, Ludwig-Maximilians-Universität München
[PDF, 561kB]

Paper

Janitza, Silke and Tutz, Gerhard and Boulesteix, Anne-Laure (1. December 2014): Random Forests for Ordinal Response Data: Prediction and Variable Selection. Department of Statistics: Technical Reports, No.174 [PDF, 597kB]

Janitza, Silke and Binder, Harald and Boulesteix, Anne-Laure (19. November 2014): Pitfalls of hypothesis tests and model selection on bootstrap samples: causes and consequences in biometrical applications. Department of Statistics: Technical Reports, No.163 [PDF, 1MB]

De Bin, Riccardo and Janitza, Silke and Sauerbrei, Willi and Boulesteix, Anne-Laure (14. October 2014): Subsampling versus bootstrapping in resampling-based model selection for multivariable regression. Department of Statistics: Technical Reports, No.171 [PDF, 379kB]

Rospleszcz, Susanne and Janitza, Silke and Boulesteix, Anne-Laure (7. August 2014): Categorical variables with many categories are preferentially selected in model selection procedures for multivariable regression models on bootstrap samples. Department of Statistics: Technical Reports, No.164 [PDF, 604kB]

Janitza, Silke and Strobl, Carolin and Boulesteix, Anne-Laure (November 2012): An AUC-based Permutation Variable Importance Measure for Random Forests. Department of Statistics: Technical Reports, No.130 [PDF, 470kB]

Boulesteix, Anne-Laure and Janitza, Silke and Kruppa, Jochen and König, Inke R. (25. July 2012): Overview of Random Forest Methodology and Practical Guidance with Emphasis on Computational Biology and Bioinformatics. Department of Statistics: Technical Reports, No.129 [PDF, 376kB]

This list was generated on Sat Dec 20 00:46:46 2014 CET.