Logo
EnglishCookie löschen - von nun an wird die Spracheinstellung Ihres Browsers verwendet.
Eine Ebene nach oben
Exportieren als [feed] RSS 1.0 [feed] RSS 2.0
Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Springe zu: 2015 | 2014 | 2013 | 2012 | 2010
Anzahl der Publikationen: 10 .

2015

Janitza, Silke; Celik, Ender; Boulesteix, Anne-Laure (22. Oktober 2015): A computationally fast variable importance test for random forests for high-dimensional data. Department of Statistics: Technical Reports, Nr. 185 [PDF, 1MB]

Janitza, Silke; Tutz, Gerhard (2. Januar 2015): Prediction Models for Time Discrete Competing Risks. Department of Statistics: Technical Reports, Nr. 177 [PDF, 552kB]

2014

Janitza, Silke; Tutz, Gerhard; Boulesteix, Anne-Laure (1. Dezember 2014): Random Forests for Ordinal Response Data: Prediction and Variable Selection. Department of Statistics: Technical Reports, Nr. 174 [PDF, 597kB]

Janitza, Silke; Binder, Harald; 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, Nr. 163 [PDF, 1MB]

De Bin, Riccardo; Janitza, Silke; Sauerbrei, Willi; Boulesteix, Anne-Laure (14. Oktober 2014): Subsampling versus bootstrapping in resampling-based model selection for multivariable regression. Department of Statistics: Technical Reports, Nr. 171 [PDF, 379kB]

Rospleszcz, Susanne; Janitza, Silke; 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, Nr. 164 [PDF, 604kB]

2013

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]

Boulesteix, Anne-Laure; Janitza, Silke; Kruppa, Jochen; König, Inke R. (25. Juli 2012): Overview of Random Forest Methodology and Practical Guidance with Emphasis on Computational Biology and Bioinformatics. Department of Statistics: Technical Reports, Nr. 129 [PDF, 376kB]

2010

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

Diese Liste wurde am Tue Dec 6 05:10:12 2016 CET erstellt.