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Group by: Item Type | Date
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Number of items: 72.

Paper

Groll, Andreas and Schauberger, Gunther and Tutz, Gerhard (2. July 2014): Brazil or Germany - who will win the trophy? Prediction of the FIFA World Cup 2014 based on team-specific regularized Poisson regression. Department of Statistics: Technical Reports, No.166

Casalicchio, Giuseppe and Tutz, Gerhard and Schauberger, Gunther (28. May 2014): Subject-specific Bradley-Terry-Luce Models with Implicit Variable Selection. Department of Statistics: Technical Reports, No.160

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

Mauerer, Ingrid and Pößnecker, Wolfgang and Thurner, Paul W. and Tutz, Gerhard (9. April 2014): Modeling electoral choices in multiparty systems with high-dimensional data: A regularized selection of parameters using the Lasso approach. Department of Statistics: Technical Reports, No.158

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

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

Tutz, Gerhard and Schauberger, Gunther (7. January 2014): Extended Ordered Paired Comparison Models with Application to Football Data from German Bundesliga. Department of Statistics: Technical Reports, No.151

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

Oelker, Margret-Ruth and Tutz, Gerhard (12. April 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 (14. February 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 (7. December 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 (21. June 2012): Variable Selection in General Multinomial Logit Models. Department of Statistics: Technical Reports, No.126

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

Tutz, Gerhard and Schauberger, Gunther (2. April 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 (6. March 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 (17. November 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 (3. June 2011): Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation. Department of Statistics: Technical Reports, No.108

Groll, Andreas and Tutz, Gerhard (June 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 (2. March 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 (December 2010): Binary and Ordinal Random Effects Models Including Variable Selection. Department of Statistics: Technical Reports, No.97

Tutz, Gerhard and Petry, Sebastian (9. July 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 Statistica Sinica (to appear)

Zahid, Faisal Maqbool and Tutz, Gerhard (September 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 (July 2009): Selection of Ordinally Scaled Independent Variables. Department of Statistics: Technical Reports, No.62 Applied Statistics (accepted for publication)

Petry, Sebastian and Tutz, Gerhard (7. April 2009): Shrinkage and Variable Selection by Polytopes. Department of Statistics: Technical Reports, No.53

Strobl, Carolin and Malley, James and Tutz, Gerhard (April 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 (9. March 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 The Annals of Applied Statistics, 4

Leitenstorfer, Florian and Tutz, Gerhard (20. June 2008): Estimation of Single-Index Models Based on Boosting Techniques. Department of Statistics: Technical Reports, No.34

Gertheiss, Jan and Tutz, Gerhard (19. June 2008): Feature Selection and Weighting by Nearest Neighbor Ensembles. Department of Statistics: Technical Reports, No.33 Chemometrics and Intelligent Laboratory Systems, 99

Gertheiss, Jan and Tutz, Gerhard (9. January 2008): Penalized Regression with Ordinal Predictors. Department of Statistics: Technical Reports, No.15 International Statistical Review, 77

Tutz, Gerhard and Gertheiss, Jan (20. December 2007): Feature Extraction in Signal Regression: A Boosting Technique for Functional Data Regression. Department of Statistics: Technical Reports, No.11 Journal of Computational and Graphical Statistics, 19

Ulbricht, Jan and Tutz, Gerhard (11. December 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

This list was generated on Mon Jul 28 12:26:34 2014 CEST.