Paper

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

Oelker, Margret-Ruth and Tutz, Gerhard (2013): A General Family of Penalties for Combining Differing Types of Penalties in Generalized Structured Models. Department of Statistics: Technical Reports, No.139

Heinzl, Felix and Tutz, Gerhard (2013): Clustering in Additive Mixed Models with Approximate Dirichlet Process Mixtures using the EM Algorithm. Department of Statistics: Technical Reports, No.138

Tutz, Gerhard and Schauberger, Gunther (2012): A Penalty Approach to Differential Item Functioning in Rasch Models. Department of Statistics: Technical Reports, No.134

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

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

Tutz, Gerhard and Schauberger, Gunther (2012): Visualization of Categorical Response Models - from Data Glyphs to Parameter Glyphs. Department of Statistics: Technical Reports, No.117

Oelker, Margret-Ruth and Gertheiss, Jan and Tutz, Gerhard (2012): Regularization and Model Selection with Categorial Predictors and Effect Modifiers in Generalized Linear Models. Department of Statistics: Technical Reports, No.122

Heinzl, Felix and Tutz, Gerhard (2011): Clustering in linear mixed models with Dirichlet process mixtures using EM algorithm. Department of Statistics: Technical Reports, No.115

Groll, Andreas and Tutz, Gerhard (2011): Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation. Department of Statistics: Technical Reports, No.108

Groll, Andreas and Tutz, Gerhard (2011): Regularization for Generalized Additive Mixed Models by Likelihood-Based Boosting. Department of Statistics: Technical Reports, No.110

Petry, Sebastian and Flexeder, Claudia and Tutz, Gerhard (2011): Pairwise Fused Lasso. Department of Statistics: Technical Reports, No.102

Ulbricht, Jan and Tutz, Gerhard (2011): Combining Quadratic Penalization and Variable Selection via Forward Boosting. Department of Statistics: Technical Reports, No.99

Zahid, Faisal Maqbool and Tutz, Gerhard (2011): Proportional Odds Models with High-dimensional Data Structure. Department of Statistics: Technical Reports, No.100

Petry, Sebastian and Tutz, Gerhard (2011): The OSCAR for Generalized Linear Models. Department of Statistics: Technical Reports, No.112

Tutz, Gerhard and Groll, Andreas (2010): Binary and Ordinal Random Effects Models Including Variable Selection. Department of Statistics: Technical Reports, No.97

Tutz, Gerhard and Petry, Sebastian (2010): Nonparametric Estimation of the Link Function Including Variable Selection. Department of Statistics: Technical Reports, No.85

Robinzonov, Nikolay and Tutz, Gerhard and Hothorn, Torsten (2010): Boosting Techniques for Nonlinear Time Series Models. Department of Statistics: Technical Reports, No.75

Zahid, Faisal Maqbool and Tutz, Gerhard (2010): Multinomial Logit Models with Implicit Variable Selection. Department of Statistics: Technical Reports, No.89

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

Zahid, Faisal Maqbool and Tutz, Gerhard (2009): Ridge Estimation for Multinomial Logit Models with Symmetric Side Constraints. Department of Statistics: Technical Reports, No.67

Gertheiss, Jan and Hogger, Sara and Oberhauser, Cornelia and Tutz, Gerhard (2009): Selection of Ordinally Scaled Independent Variables. Department of Statistics: Technical Reports, No.62

Petry, Sebastian and Tutz, Gerhard (2009): Shrinkage and Variable Selection by Polytopes. Department of Statistics: Technical Reports, No.53

Strobl, Carolin and Malley, James and Tutz, Gerhard (2009): An Introduction to Recursive Partitioning: Rationale, Application and Characteristics of Classification and Regression Trees, Bagging and Random Forests. Department of Statistics: Technical Reports, No.55

Slawski, Martin and zu Castell, Wolfgang and Tutz, Gerhard (2009): Feature Selection Guided by Structural Information. Department of Statistics: Technical Reports, No.51

Gertheiss, Jan and Tutz, Gerhard (2009): Sparse Modeling of Categorial Explanatory Variables. Department of Statistics: Technical Reports, No.60

Leitenstorfer, Florian and Tutz, Gerhard (2008): Estimation of Single-Index Models Based on Boosting Techniques. Department of Statistics: Technical Reports, No.34

Gertheiss, Jan and Tutz, Gerhard (2008): Feature Selection and Weighting by Nearest Neighbor Ensembles. Department of Statistics: Technical Reports, No.33

Gertheiss, Jan and Tutz, Gerhard (2008): Penalized Regression with Ordinal Predictors. Department of Statistics: Technical Reports, No.15

Tutz, Gerhard and Gertheiss, Jan (2007): Feature Extraction in Signal Regression: A Boosting Technique for Functional Data Regression. Department of Statistics: Technical Reports, No.11

Ulbricht, Jan and Tutz, Gerhard (2007): Boosting Correlation Based Penalization in Generalized Linear Models. Department of Statistics: Technical Reports, No.9

Kneib, Thomas and Hothorn, Torsten and Tutz, Gerhard (2007): Variable Selection and Model Choice in Geoadditive Regression Models. Department of Statistics: Technical Reports, No.3

Shafik, Nivien and Tutz, Gerhard (2007): Boosting Nonlinear Additive Autoregressive Time Series. Department of Statistics: Technical Reports, No.6

Leitenstorfer, Florian and Tutz, Gerhard (2006): Smoothing with Curvature Constraints based on Boosting Techniques. Collaborative Research Center 386, Discussion Paper 467

Leitenstorfer, Florian and Tutz, Gerhard (2006): Knot selection by boosting techniques. Collaborative Research Center 386, Discussion Paper 481

Reithinger, Florian and Jank, Wolfgang and Tutz, Gerhard and Shmueli, Galit (2006): Smoothing sparse and unevenly sampled curves using semiparametric mixed models: An application to online auctions. Collaborative Research Center 386, Discussion Paper 483

Krämer, N. and Boulesteix, Anne-Laure and Tutz, Gerhard (2006): Penalized Partial Least Squares Based on B-Splines Transformations. Collaborative Research Center 386, Discussion Paper 485

Tutz, Gerhard and Ulbricht, Jan (2006): Penalized Regression with Correlation Based Penalty. Collaborative Research Center 386, Discussion Paper 486

Tutz, Gerhard and Leitenstorfer, Florian (2005): Generalized smooth monotonic regression. Collaborative Research Center 386, Discussion Paper 417

Tutz, Gerhard and Binder, Harald (2005): Boosting Ridge Regression. Collaborative Research Center 386, Discussion Paper 418

Leitenstorfer, Florian and Tutz, Gerhard (2005): Generalized Monotonic Regression Based on B-Splines with an Application to Air Pollution Data. Collaborative Research Center 386, Discussion Paper 444

Tutz, Gerhard and Reithinger, Florian (2005): Flexible semiparametric mixed models. Collaborative Research Center 386, Discussion Paper 448

Boulesteix, Anne-Laure and Tutz, Gerhard (2004): Identification of Interaction Patterns and Classification with Applications to Microarray Data. Collaborative Research Center 386, Discussion Paper 369

Tutz, Gerhard and Binder, Harald (2004): Localized Regression. Collaborative Research Center 386, Discussion Paper 378

Krause, Rüdiger and Tutz, Gerhard (2004): Simultaneous selection of variables and smoothing parameters by genetic algorithms. Collaborative Research Center 386, Discussion Paper 389

Krause, Rüdiger and Tutz, Gerhard (2004): Variable selection and discrimination in gene expression data by genetic algorithms. Collaborative Research Center 386, Discussion Paper 390

Linde, A. van der and Tutz, Gerhard (2004): On association in regression: the coefficient of determination revisited. Collaborative Research Center 386, Discussion Paper 391

Einbeck, Jochen and Tutz, Gerhard (2004): Modelling beyond Regression Functions: an Application of Multimodal Regression to Speed-Flow Data. Collaborative Research Center 386, Discussion Paper 395

Tutz, Gerhard and Binder, Harald (2004): Generalized additive modelling with implicit variable selection by likelihood based boosting. Collaborative Research Center 386, Discussion Paper 401

Tutz, Gerhard and Scholz, T. (2003): Ordinal regression modelling between proportional odds and non-proportional odds. Collaborative Research Center 386, Discussion Paper 304

Krause, Rüdiger and Tutz, Gerhard (2003): Additive Modelling with Penalized Regression Splines and Genetic Algorithms. Collaborative Research Center 386, Discussion Paper 312

Boulesteix, Anne-Laure and Tutz, Gerhard (2003): A Framework to Discover Emerging Patterns for Application in Microarray Data. Collaborative Research Center 386, Discussion Paper 313

Tutz, Gerhard (2003): Response smoothing estimators in binary regression. Collaborative Research Center 386, Discussion Paper 318

Einbeck, Jochen and Tutz, Gerhard and Evers, L. (2003): Local Principal Curves. Collaborative Research Center 386, Discussion Paper 320

Tutz, Gerhard and Hechenbichler, K. (2003): Aggregating Classifiers With Ordinal Response Structure. Collaborative Research Center 386, Discussion Paper 359

Tutz, Gerhard and Binder, Harald (2002): Flexible Modelling of Discrete Failure Time Including Time-Varying Smooth Effects. Collaborative Research Center 386, Discussion Paper 294

Tutz, Gerhard (2002): Modelling of repeated ordered measurements by isotonic sequential regression. Collaborative Research Center 386, Discussion Paper 298

Kauermann, Göran and Tutz, Gerhard (2001): Vanishing of Risk Factors for the Success and Survival of Newly Founded Companies. Collaborative Research Center 386, Discussion Paper 242

Tutz, Gerhard (2001): Generalized semiparametrically structured ordinal models. Collaborative Research Center 386, Discussion Paper 250

Tutz, Gerhard (2001): Generalized semiparametrically structured mixed models. Collaborative Research Center 386, Discussion Paper 251

Kauermann, Göran and Tutz, Gerhard (2000): Semiparametric Modeling of Ordinal Data. Collaborative Research Center 386, Discussion Paper 193

Tutz, Gerhard and Scholz, T. (2000): Semiparametric Modelling of Multicategorical Data. Collaborative Research Center 386, Discussion Paper 209

Kauermann, Göran and Tutz, Gerhard (1999): Testing Generalized Linear and Semiparametric Models Against Smooth Alternatives. Collaborative Research Center 386, Discussion Paper 149

Dreesman, J. and Tutz, Gerhard (1999): Nonstationary conditional models for spatial data based on varying coefficients. Collaborative Research Center 386, Discussion Paper 150

Tutz, Gerhard and Edlich, Silke and Bäumer, Christoph (1999): Comparison between local estimates for multi-categorical varying-coefficent models. Collaborative Research Center 386, Discussion Paper 151