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Number of items at this level: 24.

English

Biller, Clemens and Fahrmeir, Ludwig (2001): Bayesian varying-coefficient models using adaptive regression splines. In: Statistical Modelling, Vol. 1, No. 3: pp. 195-211

Biller, Clemens and Fahrmeir, Ludwig (2001): Bayesian varying-coefficient models using adaptive regression splines. In: Statistical Modelling, Vol. 1, No. 3: pp. 195-211

Gertheiss, Jan and Tutz, Gerhard (2010): Regularization and Model Selection with Categorial Effect Modifiers. Department of Statistics: Technical Reports, No.73 Statistica Sinica (to appear)

Hapfelmeier, Alexander and Ulm, Kurt (15. January 2013): Variable selection with Random Forests for missing data. Department of Statistics: Technical Reports, No.137

Heinzl, Felix and Tutz, Gerhard (12. June 2012): Clustering in linear mixed models with a group fused lasso penalty. Department of Statistics: Technical Reports, No.123

Herberich, Esther and Sikorski, Johannes and Hothorn, Torsten (2010): A robust procedure for comparing multiple means under heteroscedasticity in unbalanced designs.
In: PloS one 5(3), e9788

Hess, Wolfgang and Tutz, Gerhard and Gertheiss, Jan (23. February 2014): A Flexible Link Function for Discrete-Time Duration Models. Department of Statistics: Technical Reports, No.155

Hofner, Benjamin and Hothorn, Torsten and Kneib, Thomas and Schmid, Matthias (10. December 2009): A Framework for Unbiased Model Selection Based on Boosting. Department of Statistics: Technical Reports, No.72

Jelizarow, Monika and Cieza, Alarcos and Mansmann, Ulrich (17. April 2013): Global permutation tests for multivariate ordinal data: alternatives, test statistics, and the null dilemma. Department of Statistics: Technical Reports, No.142

Kalus, Stefanie and Sämann, Philipp and Czisch, Michael and Fahrmeir, Ludwig (26. June 2013): fMRI activation detection with EEG priors. Department of Statistics: Technical Reports, No.146

Kato, Mika and Mittnik, Stefan and Samaan, Daniel and Semmler, Willi (15. November 2013): Employment and Output Effects of Climate Policies. Department of Statistics: Technical Reports, No.149

Möst, Stephanie and Pößnecker, Wolfgang and Tutz, Gerhard (28. May 2014): Variable Selection for Discrete Competing Risks Models. Department of Statistics: Technical Reports, No.161

Scharl, Theresa and Grün, Bettina and Leisch, Friedrich (2009): Mixtures of Regression Models for Time-Course Gene Expression Data: Evaluation of Initialization and Random Effects. Department of Statistics: Technical Reports, No.71

Scharl, Theresa and Voglhuber, Ingo and Leisch, Friedrich (2009): Exploratory and Inferential Analysis of Gene Cluster Neighborhood Graphs. Department of Statistics: Technical Reports, No.70

Scheipl, Fabian and Greven, Sonja (2012): Identifiability in penalized function-on-function regression models. Department of Statistics: Technical Reports, No.125

Schlicht, Ekkehart (2011): Mend-A Mathematica package for mending time series with missing observations and structural breaks.

Schmid, Matthias and Hothorn, Torsten and Krause, Friedemann and Rabe, Christina (2012): A PAUC-based Estimation Technique for Disease Classification and Biomarker Selection. In: Statistical Applications in Genetics and Molecular Biology, Vol. 11, No. 5: pp. 1-24

Schneeweiß, Hans (30. June 2014): The linear GMM model with singular covariance matrix due to the elimination of a nuisance parameter. Department of Statistics: Technical Reports, No.165

Tutz, Gerhard and Moritz, Berger (12. August 2014): Tree-Structured Modelling of Categorical Predictors in Regression. Department of Statistics: Technical Reports, No.169

Tutz, Gerhard and Oelker, Margret-Ruth (19. March 2014): Modeling Clustered Heterogeneity: Fixed Effects, Random Effects and Mixtures. Department of Statistics: Technical Reports, No.156

Tutz, Gerhard and Petry, Sebastian (21. May 2013): Generalized Additive Models with Unknown Link Function Including Variable Selection. Department of Statistics: Technical Reports, No.145

Tutz, Gerhard and Pößnecker, Wolfgang and Uhlmann, Lorenz (21. June 2012): Variable Selection in General Multinomial Logit Models. Department of Statistics: Technical Reports, No.126

Unkel, Steffen and Gower, John C. and Trendafilov, Nickolay T. (10. May 2013): On the Procrustean analogue of individual differences scaling (INDSCAL). Department of Statistics: Technical Reports, No.144

Walter, Gero (4. October 2012): A Technical Note on the Dirichlet-Multinomial Model. The Dirichlet Distribution as the Canonically Constructed Conjugate Prior. Department of Statistics: Technical Reports, No.131

This list was generated on Fri Aug 22 23:34:43 2014 CEST.