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Eine Ebene höher- Fakultäten (102475)
- Mathematik, Informatik und Statistik (4826)
- Informatik (1476)
- Mathematik (1132)
- Statistik (2203)
- Mathematik, Informatik und Statistik (4826)
Anzahl der Publikationen auf dieser Ebene: 23
210
Schollmeyer, Georg; Jansen, Christoph und Augustin, Thomas
(31. August 2017):
A simple descriptive method for multidimensional item response theory based on stochastic dominance.
Department of Statistics: Technical Reports, Nr. 210
[PDF, 1MB]
209
Schollmeyer, Georg; Jansen, Christoph und Augustin, Thomas
(31. August 2017):
Detecting stochastic dominance for poset-valued random variables as an example of linear programming on closure systems.
Department of Statistics: Technical Reports, Nr. 209
[PDF, 2MB]
206
Drießlein, David; Küchenhoff, Helmut 
ORCID: https://orcid.org/0000-0002-6372-2487; Tutz, Gerhard und Wippert, Pia Maria
(31. August 2017):
Variable selection and inference in a follow-up study on back pain.
Department of Statistics: Technical Reports, Nr. 206
[PDF, 519kB]
ORCID: https://orcid.org/0000-0002-6372-2487; Tutz, Gerhard und Wippert, Pia Maria
(31. August 2017):
Variable selection and inference in a follow-up study on back pain.
Department of Statistics: Technical Reports, Nr. 206
[PDF, 519kB]
204
Janitza, Silke
(10. April 2017):
On the overestimation of random forest’s out-of-bag error.
Department of Statistics: Technical Reports, Nr. 204
[PDF, 641kB]
186
Pößnecker, Wolfgang und Tutz, Gerhard
(18. Januar 2016):
A General Framework for the Selection of Effect Type in Ordinal Regression.
Department of Statistics: Technical Reports, Nr. 186
[PDF, 625kB]
176
Laubender, Rüdiger P. und Mansmann, Ulrich
(24. Dezember 2014):
Estimating individual treatment effects from
responses and a predictive biomarker in a
parallel group RCT.
Department of Statistics: Technical Reports, Nr. 176
[PDF, 2MB]
172
Tutz, Gerhard und Ramzan, Shahla
(13. Oktober 2014):
Improved Methods for the Imputation of Missing Data by Nearest Neighbor Methods.
Department of Statistics: Technical Reports, Nr. 172
[PDF, 672kB]
165
Schneeweiß, Hans
(30. Juni 2014):
The linear GMM model with singular covariance matrix due to the elimination of a nuisance parameter.
Department of Statistics: Technical Reports, Nr. 165
[PDF, 307kB]
164
Rospleszcz, Susanne; Janitza, Silke und 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]
161
Möst, Stephanie; Pößnecker, Wolfgang und Tutz, Gerhard
(28. Mai 2014):
Variable Selection for Discrete Competing Risks Models.
Department of Statistics: Technical Reports, Nr. 161
[PDF, 729kB]
155
Hess, Wolfgang; Tutz, Gerhard und Gertheiss, Jan
(23. Februar 2014):
A Flexible Link Function for Discrete-Time Duration Models.
Department of Statistics: Technical Reports, Nr. 155
[PDF, 626kB]
146
Kalus, Stefanie; Sämann, Philipp; Czisch, Michael und Fahrmeir, Ludwig
(26. Juni 2013):
fMRI activation detection with EEG priors.
Department of Statistics: Technical Reports, Nr. 146
[PDF, 1MB]
145
Tutz, Gerhard und Petry, Sebastian
(21. Mai 2013):
Generalized Additive Models with Unknown Link Function Including Variable Selection.
Department of Statistics: Technical Reports, Nr. 145
[PDF, 2MB]
144
Unkel, Steffen; Gower, John C. und Trendafilov, Nickolay T.
(10. Mai 2013):
On the Procrustean analogue of individual differences scaling (INDSCAL).
Department of Statistics: Technical Reports, Nr. 144
[PDF, 933kB]
137
Hapfelmeier, Alexander und Ulm, Kurt
(15. Januar 2013):
Variable selection with Random Forests for missing data.
Department of Statistics: Technical Reports, Nr. 137
[PDF, 563kB]
131
Walter, Gero
(4. Oktober 2012):
A Technical Note on the Dirichlet-Multinomial Model. The Dirichlet Distribution as the Canonically Constructed Conjugate Prior.
Department of Statistics: Technical Reports, Nr. 131
[PDF, 432kB]
126
Tutz, Gerhard; Pößnecker, Wolfgang und Uhlmann, Lorenz
(21. Juni 2012):
Variable Selection in General Multinomial Logit Models.
Department of Statistics: Technical Reports, Nr. 126
[PDF, 567kB]
125
Scheipl, Fabian und Greven, Sonja
(11. Juni 2015):
Identifiability in penalized function-on-function regression models.
Department of Statistics: Technical Reports, Nr. 125
[PDF, 825kB]
123
Heinzl, Felix und Tutz, Gerhard
(12. Juni 2012):
Clustering in linear mixed models with a group fused lasso penalty.
Department of Statistics: Technical Reports, Nr. 123
[PDF, 606kB]
72
Hofner, Benjamin; Hothorn, Torsten; Kneib, Thomas und Schmid, Matthias
(10. Dezember 2009):
A Framework for Unbiased Model Selection Based on Boosting.
Department of Statistics: Technical Reports, Nr. 72
[PDF, 914kB]
71
Scharl, Theresa; Grün, Bettina und Leisch, Friedrich
(2009):
Mixtures of Regression Models for Time-Course Gene Expression Data: Evaluation of Initialization and Random Effects.
Department of Statistics: Technical Reports, Nr. 71
[PDF, 735kB]
70
Scharl, Theresa; Voglhuber, Ingo und Leisch, Friedrich
(2009):
Exploratory and Inferential Analysis of Gene Cluster Neighborhood Graphs.
Department of Statistics: Technical Reports, Nr. 70
[PDF, 1MB]
2
Fahrmeir, Ludwig und Gössl, C.
(2002):
Semiparametric Bayesian models for human brain mapping.
In: Statistical Modelling, Bd. 2, Nr. 3: S. 235-249
[PDF, 441kB]