Publikationen von Tutz, Gerhard

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Anzahl der Publikationen: 211

Monographie

Tutz, Gerhard und Schmid, Matthias (2016): Modeling Discrete Time-to-Event Data. Cham: Springer.

Tutz, Gerhard (2012): Regression for Categorical Data. Cambridge: Cambridge University Press.

Herausgeberschaft

Kneib, Thomas und Tutz, Gerhard (Hrsg.) (2010): Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Berlin; Heidelberg u.a.: Physica-Verlag.

Zeitschriftenartikel

Fahrmeir, Ludwig; Kauermann, Göran; Tutz, Gerhard

und Windmann, Michael (2023): Spatial smoothing revisited: An application to rental data in Munich. In: Statistical Modelling, Bd. 23, Nr. 5-6: S. 480-494 [PDF, 1MB]

Tutz, Gerhard

und Jordan, Pascal (2023): Latent Trait Item Response Models for Continuous Responses. In: Journal of Educational and Behavioral Statistics [Forthcoming]

Tutz, Gerhard (2022): Flexible Item Response Models for Count Data: The Count Thresholds Model. In: Applied Psychological Measurement, Bd. 46, Nr. 8: S. 643-661

Tutz, Gerhard und Berger, Moritz (2022): Sparser Ordinal Regression Models Based on Parametric and Additive Location-Shift Approaches. In: International Statistical Review, Bd. 90, Nr. 2: S. 306-327

Tutz, Gerhard (2022): Probability and non-probability samples: Improving regression modeling by using data from different sources. In: Information Sciences, Bd. 621: S. 424-436

Faisal, Shahla und Tutz, Gerhard (2022): Nearest neighbor imputation for categorical data by weighting of attributes. In: Information Sciences, Bd. 592: S. 306-319

Mauerer, Ingrid und Tutz, Gerhard (2022): Heterogeneity in general multinomial choice models. In: Statistical Methods and Applications, Bd. 32, Nr. 1: S. 129-148

Tutz, Gerhard (2022): Item Response Thresholds Models: A General Class of Models for Varying Types of Items. In: Psychometrika, Bd. 87, Nr. 4: S. 1238-1269 [PDF, 1MB]

Schauberger, Gunther und Tutz, Gerhard (2022): Multivariate ordinal random effects models including subject and group specific response style effects. In: Statistical Modelling, Bd. 22, Nr. 5, 1471082X20978034: S. 409-429

Tutz, Gerhard und Berger, Moritz (2021): Tree-structured scale effects in binary and ordinal regression. In: Statistics and Computing, Bd. 31, Nr. 2, 17

Tutz, Gerhard (2021): Ordinal Trees and Random Forests: Score-Free Recursive Partitioning and Improved Ensembles. In: Journal of Classification [PDF, 1MB]

Colombi, Roberto; Giordano, Sabrina und Tutz, Gerhard (2021): A Rating Scale Mixture Model to Account for the Tendency to Middle and Extreme Categories. In: Journal of Educational and Behavioral Statistics, Bd. 46, Nr. 6, 1076998621992554: S. 682-716

Faisal, Shahla und Tutz, Gerhard (2021): Imputation methods for high-dimensional mixed-type datasets by nearest neighbors. In: Computers in Biology and Medicine, Bd. 135, 104577

Faisal, Shahla und Tutz, Gerhard (2021): Multiple imputation using nearest neighbor methods. In: Information Sciences, Bd. 570: S. 500-516

Tutz, Gerhard (2021): Uncertain Choices: The Heterogeneous Multinomial Logit Model. In: Sociological Methodology, Vol 51, Bd. 51, Nr. 1: S. 86-111

Tutz, Gerhard (2021): Ordinal regression: A review and a taxonomy of models. In: Wiley Interdisciplinary Reviews-Computational Statistics, Bd. 14, Nr. 2, e1545

Tutz, Gerhard und Berger, Moritz (2020): The effect of explanatory variables on income: A tool that allows a closer look at the differences in income. In: Econometrics and Statistics, Bd. 16: S. 28-41

Simone, Rosaria; Tutz, Gerhard und Iannario, Maria (2020): Subjective heterogeneity in response attitude for multivariate ordinal outcomes. In: Econometrics and Statistics, Bd. 14: S. 145-158

Tutz, Gerhard (2020): On the structure of ordered latent trait models. In: Journal of Mathematical Psychology, Bd. 96, 102346

Tutz, Gerhard und Schauberger, Gunther (2020): Uncertainty in Latent Trait Models. In: Applied Psychological Measurement, Bd. 44, Nr. 6: S. 447-464

Tutz, Gerhard (2020): Hierarchical Models for the Analysis of Likert Scales in Regression and Item Response Analysis. In: International Statistical Review, Bd. 89, Nr. 1: S. 18-35 [PDF, 599kB]

Tutz, Gerhard und Schneider, Micha (2019): Flexible uncertainty in mixture models for ordinal responses. In: Journal of Applied Statistics, Bd. 46, Nr. 9: S. 1582-1601

Berger, Moritz; Tutz, Gerhard und Schmid, Matthias (2019): Tree-structured modelling of varying coefficients. In: Statistics and Computing, Bd. 29, Nr. 2: S. 217-229

Tutz, Gerhard (2019): Modelling heterogeneity: on the problem of group comparisons with logistic regression and the potential of the heterogeneous choice model. In: Advances in Data Analysis and Classification

Puth, Marie-Therese; Tutz, Gerhard; Heim, Nils; Muenster, Eva; Schmid, Matthias und Berger, Moritz (2019): Tree-based modeling of time-varying coefficients in discrete time-to-event models. In: Lifetime Data Analysis, Bd. 26, Nr. 3: S. 545-572

Schauberger, Gunther und Tutz, Gerhard (2019): BTLLasso: A Common Framework and Software Package for the Inclusion and Selection of Covariates in Bradley-Terry Models. In: Journal of Statistical Software, Bd. 88, Nr. 9

Tutz, Gerhard; Schauberger, Gunther und Berger, Moritz (2018): Response Styles in the Partial Credit Model. In: Applied Psychological Measurement [PDF, 1MB]

Tutz, Gerhard (2018): Binary Response Models with Underlying Heterogeneity: Identification and Interpretation of Effects. In: European Sociological Review, Bd. 34, Nr. 2: S. 211-221

Schmid, Matthias; Tutz, Gerhard und Welchowski, Thomas (2018): Discrimination measures for discrete time-to-event predictions. In: Econometrics and Statistics, Bd. 7: S. 153-164

Tutz, Gerhard und Berger, Moritz (2018): Tree-structured modelling of categorical predictors in generalized additive regression. In: Advances in Data Analysis and Classification, Bd. 12, Nr. 3: S. 737-758

Berger, Moritz und Tutz, Gerhard (2018): Tree-Structured Clustering in Fixed Effects Models. In: Journal of Computational and Graphical Statistics, Bd. 27, Nr. 2: S. 380-392

Simone, Rosaria und Tutz, Gerhard (2018): Modelling uncertainty and response styles in ordinal data. In: Statistica Neerlandica, Bd. 72, Nr. 3: S. 224-245

Bollmann, Stella; Berger, Moritz und Tutz, Gerhard (2018): Item-Focused Trees for the Detection of Differential Item Functioning in Partial Credit Models. In: Educational and Psychological Measurement, Bd. 78, Nr. 5: S. 781-804 [PDF, 347kB]

Schauberger, Gunther; Groll, Andreas und Tutz, Gerhard (2017): Analysis of the importance of on-field covariates in the German Bundesliga. In: Journal of Applied Statistics: S. 1-18

Schauberger, Gunther und Tutz, Gerhard (2017): Subject-specific modelling of paired comparison data: A lasso-type penalty approach. In: Statistical Modelling, Bd. 17, Nr. 3: S. 223-243 [PDF, 548kB]

Groll, Andreas; Hastie, Trevor und Tutz, Gerhard (2017): Selection of Effects in Cox Frailty Models by Regularization Methods. In: Biometrics, Bd. 73, Nr. 3: S. 846-856

Tutz, Gerhard; Schneider, Micha; Iannario, Maria und Piccolo, Domenico (2017): Mixture models for ordinal responses to account for uncertainty of choice. In: Advances in Data Analysis and Classification, Bd. 11, Nr. 2: S. 281-305

Faisal, Shahla und Tutz, Gerhard (2017): Missing value imputation for gene expression data by tailored nearest neighbors. In: Statistical Applications in Genetics and Molecular Biology, Bd. 16, Nr. 2: S. 95-106

Groll, Andreas und Tutz, Gerhard (2017): Variable selection in discrete survival models including heterogeneity. In: Lifetime Data Analysis, Bd. 23, Nr. 2: S. 305-338

Oelker, Margret-Ruth und Tutz, Gerhard (2017): A uniform framework for the combination of penalties in generalized structured models. In: Advances in Data Analysis and Classification, Bd. 11, Nr. 1: S. 97-120

Tutz, Gerhard und Berger, Moritz (2016): Item-focussed Trees for the Identification of Items in Differential Item Functioning. In: Psychometrika, Bd. 81, Nr. 3: S. 727-750

Tutz, Gerhard und Berger, Moritz (2016): Response Styles in Rating Scales: Simultaneous Modeling of Content-Related Effects and the Tendency to Middle or Extreme Categories. In: Journal of Educational and Behavioral Statistics, Bd. 41, Nr. 3: S. 239-268 [PDF, 679kB]

Schmid, Matthias; Küchenhoff, Helmut

; Hoerauf, Achim und Tutz, Gerhard (2016): A survival tree method for the analysis of discrete event times in clinical and epidemiological studies. In: Statistics in Medicine, Bd. 35, Nr. 5: S. 734-751

Schauberger, Gunther und Tutz, Gerhard (2016): Detection of differential item functioning in Rasch models by boosting techniques. In: British Journal of Mathematical and Statistical Psychology, Bd. 69, Nr. 1: S. 80-103

Janitza, Silke; Tutz, Gerhard und Boulesteix, Anne-Laure (2016): Random forest for ordinal responses: Prediction and variable selection. In: Computational Statistics and Data Analysis, Bd. 96: S. 57-73

Tutz, Gerhard und Koch, Dominik (2016): Improved nearest neighbor classifiers by weighting and selection of predictors. In: Statistics and Computing, Bd. 26, Nr. 5: S. 1039-1057

Hess, Wolfgang; Tutz, Gerhard und Gertheiss, Jan (2016): A Flexible Link Function for Discrete-Time Duration Models. In: Journal of Economics and Statistics, Bd. 236, Nr. 4: S. 455-481

Möller, Annette; Tutz, Gerhard und Gertheiss, Jan (2016): Random forests for functional covariates. In: Journal of Chemometrics, Bd. 30, Nr. 12: S. 715-725

Berger, Moritz und Tutz, Gerhard (2016): Detection of Uniform and Nonuniform Differential Item Functioning by Item Focussed Trees. In: Journal of Educational and Behavioral Statistics, Bd. 41, Nr. 6: S. 559-592 [PDF, 658kB]

Tutz, Gerhard und Gertheiss, Jan (2016): Rejoinder: Regularized Regression for Categorical Data. In: Statistical Modelling, Bd. 16, Nr. 3: S. 249-260 [PDF, 273kB]

Tutz, Gerhard und Petry, Sebastian (2016): Generalized Additive Models with Unknown Link Function Including Variable Selection. In: Journal of Applied Statistics, Bd. 43, Nr. 15: S. 2866-2885

Draxler, Clemens; Tutz, Gerhard; Zink, Katharina und Gürer, Can (2016): Comparison of Maximum Likelihood with Conditional Pairwise Likelihood Estimation of Person Parameters in the Rasch Model. In: Communications in Statistics - Simulation and Computation, Bd. 45, Nr. 6: S. 2007-2017

Tutz, Gerhard und Koch, Dominik (2016): Improved nearest neighbor classifiers by weighting and selection of predictors. In: Statistics and Computing, Bd. 26, Nr. 5: S. 1039-1057

Tutz, Gerhard und Petry, Sebastian (2016): Generalized additive models with unknown link function including variable selection. In: Journal of Applied Statistics, Bd. 43, Nr. 15: S. 2866-2885

Tutz, Gerhard und Gertheiss, Jan (2016): Regularized Regression for Categorical Data. In: Statistical Modelling, Bd. 16, Nr. 3: S. 161-200 [PDF, 832kB]

Groll, Andreas; Schauberger, Gunther und Tutz, Gerhard (2015): Prediction of major international soccer tournaments based on team-specific regularized Poisson regression: An application to the FIFA World Cup 2014. In: Journal of Quantitative Analysis of Sports, Bd. 11, Nr. 2: S. 97-115 [PDF, 2MB]

Oelker, Magret-Ruth; Pößnecker, Wolfgang und Tutz, Gerhard (2015): Selection and fusion of categorical predictors with L₀-type penalties. In: Statistical Modelling, Bd. 15, Nr. 5: S. 389-410 [PDF, 504kB]

Casalicchio, Giuseppe; Tutz, Gerhard und Schauberger, Gunther (2015): Subject-specific Bradley-Terry-Luce models with implicit variable selection. In: Statistical Modelling, Bd. 15, Nr. 6: S. 526-547 [PDF, 249kB]

Tutz, Gerhard und Schauberger, Gunther (2015): A Penalty Approach to Differential Item Functioning in Rasch Models. In: Psychometrika, Bd. 80, Nr. 1: S. 21-43

Tutz, Gerhard und Schauberger, Gunther (2015): Extended ordered paired comparison models with application to football data from German Bundesliga. In: AStA Advances in Statistical Analysis, Bd. 99, Nr. 2: S. 209-227

Tutz, Gerhard; Pößnecker, Wolfgang und Uhlmann, Lorenz (2015): Variable selection in general multinomial logit models. In: Computational Statistics and Data Analysis, Bd. 82: S. 207-222

Fuchs, Karen; Gertheiss, Jan und Tutz, Gerhard (2015): Nearest neighbor ensembles for functional data with interpretable feature selection. In: Chemometrics and Intelligent Laboratory Systems, Bd. 146: S. 186-197

Tutz, Gerhard und Ramzan, Shalah (2015): Improved methods for the imputation of missing data by nearest neighbor methods. In: Computational Statistics and Data Analysis, Bd. 90: S. 84-99

Mauerer, Ingrid; Pößnecker, Wolfgang; Thurner, Paul W. und Tutz, Gerhard (2015): Modeling electoral choices in multiparty systems with high-dimensional data: A regularized selection of parameters using the lasso approach. In: Journal of Choice Modelling, Bd. 16: S. 23-42

Möst, Susanne; Pößnecker, Wolfgang und Tutz, Gerhard (2015): Variable selection for discrete competing risks models. In: Quality & Quantity: S. 1-22

Tutz, Gerhard und Schauberger, Gunther (2015): A Penalty Approach to Differential Item Functioning in Rasch Models. In: Psychometrika, Bd. 80, Nr. 1: S. 21-43

Tutz, Gerhard und Schauberger, Gunther (2015): Extended ordered paired comparison models with application to football data from German Bundesliga. In: Advances in Statistical Analysis, Bd. 99, Nr. 2: S. 209-227

Bühlmann, Peter; Gertheiss, Jan; Hieke, Stefanie; Kneib, Thomas; Ma, Shuangge; Schumacher, Martin; Tutz, Gerhard; Wang, Ching-Yun; Wang, Zhu und Ziegler, Andreas (2014): Discussion of ``The Evolution of Boosting Algorithms'' and ``Extending Statistical Boosting''. In: Methods of Information in Medicine, Bd. 53: S. 436-445

Heinzl, Felix und Tutz, Gerhard (2014): Clustering in linear-mixed models with a group fused lasso penalty. In: Biometrical Journal, Bd. 56, Nr. 1: S. 44-68

Tutz, Gerhard und Gertheiss, Jan (2014): Rating Scales as Predictors - The Old Question of Scale Level and Some Answers. In: Psychometrika, Bd. 79, Nr. 3: S. 357-376

Groll, Andreas

und Tutz, Gerhard

(2014): Variable selection for generalized linear mixed models by L1-penalized estimation. In: Statistics and Computing, Bd. 24, Nr. 2: S. 137-154

Heinzl, Felix und Tutz, Gerhard (2014): Additive mixed models with approximate Dirichlet process mixtures: the EM approach. In: Statistics and Computing: S. 1-20

Oelker, Magret-Ruth; Gertheiss, Jan und Tutz, Gerhard (2014): Regularization and model selection with categorical predictors and effect modifiers in generalized linear models. In: Statistical Modeling, Bd. 14, Nr. 2: S. 157-177 [PDF, 454kB]

Heinzl, Felix und Tutz, Gerhard (Februar 2013): Clustering in linear mixed models with approximate Dirichlet process mixtures using EM algorithm. In: Statistical Modelling, Bd. 13, Nr. 1: S. 41-67 [PDF, 555kB]

Heinzl, Felix und Tutz, Gerhard (2013): Clustering in linear mixed models with approximate Dirichlet process mixtures using EM algorithm. In: Statistical Modelling, Bd. 13: S. 41-67

Tutz, Gerhard und Gertheiss, Jan (2013): Rating Scales as Predictors - the Old Question of Scale Level and some Answers. In: Psychometrika: S. 1-20

Tutz, Gerhard

und Groll, Andreas

(2013): Likelihood-Based Boosting in Binary and Ordinal Random Effects Models. In: Journal of Computational and Graphical Statistics, Bd. 22, Nr. 2: S. 356-378

Zahid, Faisal M. und Tutz, Gerhard (2013): Multinomial Logit Models with Implicit Variable Selection. In: Advances in Data Analysis and Classification, Bd. 7, Nr. 4: S. 393-416

Zahid, Faisal M. und Tutz, Gerhard (2013): Ridge Estimation for Multinomial Logit Models with Symmetric Side Constraints. In: Computational Statistics, Bd. 28, Nr. 3: S. 1017-1034

Tutz, Gerhard und Schauberger, Gunther (2013): Visualization of Categorical Response Models - from Data Glyphs to Parameter Glyphs. In: Journal of Computational and Graphical Statistics, Bd. 22, Nr. 1: S. 156-177

Gertheiss, Jan und Tutz, Gerhard (2012): Regularization and Model Selection with Categorial Effect Modifiers. In: Statistica Sinica, Bd. 22: S. 957-982

Groll, Andreas

und Tutz, Gerhard (2012): Regularization for Generalized Additive Mixed Models by Likelihood-Based Boosting. In: Methods of Information in Medicine, Bd. 51, Nr. 2: S. 168-77

Groll, Andreas und Tutz, Gerhard (2012): Variable Selection for Generalized Linear Mixed Models by $L_1$-Penalized Estimation. In: Statistics and Computing: S. 1-18

Petry, Sebastian und Tutz, Gerhard (2012): Shrinkage and Variable Selection by Polytopes. In: Journal of Statistical Planning and Inference, Bd. 142: S. 48-64

Robinzonov, Nikolay; Tutz, Gerhard und Hothorn, Torsten (2012): Boosting techniques for nonlinear time series models. In: AStA Advances in Statistical Analysis, Bd. 96, Nr. 1: S. 99-122

Tutz, Gerhard und Petry, Sebastian (2012): Nonparametric Estimation of the Link Function Including Variable Selection. In: Statistics and Computing, Bd. 21: S. 545-561

Leitenstorfer, Florian und Tutz, Gerhard (2011): Estimation of Single-Index Models Based on Boosting Techniques. In: Statistical Modelling, Bd. 11: S. 203-217

Gertheiss, Jan; Hogger, Sarah; Oberhauser, Cornelia und Tutz, Gerhard (2011): Selection of Ordinally Scaled Independent Variables with Applications to International Classification of Functioning Core Sets. In: Journal of the Royal Statistical Society: Series C, Bd. 60: S. 377-396

Tutz, Gerhard und Gertheiss, Jan (2010): Feature extraction in signal regression: A boosting technique for functional data regression. In: Journal of Computational and Graphical Statistics, Bd. 19: S. 154-174

Gertheiss, Jan und Tutz, Gerhard (2010): Sparse modeling of categorial explanatory variables. In: The Annals of Applied Statistics, Bd. 4: S. 2150-2180

Slawski, Martin; Castell, Wolfgang zu und Tutz, Gerhard (2010): Feature Selection Guided by Structural Information. In: Annals of Applied Statistics, Bd. 4, Nr. 2: S. 1056-1080

Tutz, Gerhard (2010): Editorial: Regularisation methods in regression and classification. In: Statistics and Computing, Bd. 20: S. 117-118

Gertheiss, Jan und Tutz, Gerhard (2009): Feature selection and weighting by nearest neighbor ensembles. In: Chemometrics and Intelligent Laboratory Systems, Bd. 99: S. 30-38

Gertheiss, Jan und Tutz, Gerhard (2009): Penalized regression with ordinal predictors. In: International Statistical Review, Bd. 77: S. 345-365

Gertheiss, Jan und Tutz, Gerhard (2009): Supervised feature selection in mass spectrometry based proteomic profiling by blockwise boosting. In: Bioinformatics, Bd. 25: S. 1076-1077

Gertheiss, Jan und Tutz, Gerhard (2009): Variable scaling and nearest neighbor methods. In: Journal of Chemometrics, Bd. 23: S. 149-151

Kneib, Thomas; Hothorn, Torsten und Tutz, Gerhard (2009): Variable Selection and Model Choice in Geoadditive Regression Models. In: Biometrics, Bd. 65, Nr. 2: S. 626-634

Shafik, Nivien und Tutz, Gerhard (2009): Boosting nonlinear additive autoregressive time series. In: Computational Statistics & Data Analysis, Bd. 53: S. 2453-2464

Strobl, Carolin; Malley, James und Tutz, Gerhard (2009): An introduction to recursive partitioning: Rationale, application and characteristics of classification and regression trees, bagging and random forests. In: Psychological Methods, Bd. 14, Nr. 4: S. 323-348

Tutz, Gerhard und Ulbricht, Jan (2009): Penalized regression with correlation based penalty. In: Statistics and Computing, Bd. 19: S. 239-253

Paper

Tutz, Gerhard und Draxler, Clemens (30. Oktober 2019): A Common Framework for Classical and Tree-Based Item Response Models Including Extended Hierarchically Structured Models. Department of Statistics: Technical Reports, Nr. 227 [PDF, 520kB]

Schneider, Micha; Pößnecker, Wolfgang und Tutz, Gerhard (6. August 2019): Variable Selection in Mixture Models with an Uncertainty Component. Department of Statistics: Technical Reports, Nr. 225 [PDF, 805kB]

Tutz, Gerhard (3. Januar 2019): Modelling Heterogeneity: On the Problem of Group Comparisons with Logistic Regression and the Potential of the Heterogeneous Choice Model. Department of Statistics: Technical Reports, Nr. 220 [PDF, 477kB]

Tutz, Gerhard (20. Dezember 2018): On the Construction of Adjacent Categories Latent Trait Models from Binary Variables, Motivating Processes and the Interpretation of Parameters. Department of Statistics: Technical Reports, Nr. 218 [PDF, 449kB]

Tutz, Gerhard und Schauberger, Gunther (24. September 2018): Uncertainty as Response Style in Latent Trait Models. Department of Statistics: Technical Reports, Nr. 217, [PDF, 543kB]

Drießlein, David; Küchenhoff, Helmut

; Tutz, Gerhard und Wippert, Pia Maria (1. September 2017): Variable Selection and Inference in a follow-up Study on Back Pain. Department of Statistics: Technical Reports, Nr. 211 [PDF, 550kB]

Drießlein, David; Küchenhoff, Helmut

; 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]

Tutz, Gerhard und Schneider, Micha (24. Februar 2017): Mixture Models for Ordinal Responses with a Flexible Uncertainty Component. Department of Statistics: Technical Reports, Nr. 203 [PDF, 575kB]

Schauberger, Gunther und Tutz, Gerhard (17. Januar 2017): BTLLasso - A Common Framework and Software Package for the Inclusion and Selection of Covariates in Bradley-Terry Models. Department of Statistics: Technical Reports, Nr. 202 [PDF, 593kB]

Schauberger, Gunther; Groll, Andreas und Tutz, Gerhard (25. August 2016): Modeling Football Results in the German Bundesliga Using Match-specific Covariates. Department of Statistics: Technical Reports, Nr. 197 [PDF, 560kB]

Tutz, Gerhard; Schauberger, Gunther und Berger, Moritz (23. August 2016): Response Styles in the Partial Credit Model. Department of Statistics: Technical Reports, Nr. 196 [PDF, 770kB]

Groll, Andreas

; Hastie, Trevor und Tutz, Gerhard

(25. Februar 2016): Regularization in Cox Frailty Models. Department of Statistics: Technical Reports, Nr. 191 [PDF, 8MB]

Tutz, Gerhard und Moritz, Berger (22. Februar 2016): Separating Location and Dispersion in Ordinal Regression Models. Department of Statistics: Technical Reports, Nr. 190 [PDF, 632kB]

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]

Schauberger, Gunther und Tutz, Gerhard (19. August 2015): Modelling Heterogeneity in Paired Comparison Data - an L1 Penalty Approach with an Application to Party Preference Data. Department of Statistics: Technical Reports, Nr. 183 [PDF, 440kB]

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

Tutz, Gerhard; Schneider, Micha; Iannario, Maria und Piccolo, Domenico (16. Dezember 2014): Mixture Models for Ordinal Responses to Account for Uncertainty of Choice. Department of Statistics: Technical Reports, Nr. 175 [PDF, 597kB]

Janitza, Silke; Tutz, Gerhard und 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]

Tutz, Gerhard und Oelker, Margret-Ruth (30. Oktober 2014): Modeling Clustered Heterogeneity: Fixed Effects, Random Effects and Mixtures. Department of Statistics: Technical Reports, Nr. 156 [PDF, 649kB]

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]

Tutz, Gerhard und Moritz, Berger (12. August 2014): Tree-Structured Modelling of Categorical Predictors in Regression. Department of Statistics: Technical Reports, Nr. 169 [PDF, 573kB]

Groll, Andreas; Schauberger, Gunther und Tutz, Gerhard (2. Juli 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, Nr. 166 [PDF, 634kB]

Casalicchio, Giuseppe; Tutz, Gerhard und Schauberger, Gunther (28. Mai 2014): Subject-specific Bradley-Terry-Luce Models with Implicit Variable Selection. Department of Statistics: Technical Reports, Nr. 160 [PDF, 396kB]

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]

Mauerer, Ingrid; Pößnecker, Wolfgang; Thurner, Paul W. und 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, Nr. 158 [PDF, 709kB]

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]

Tutz, Gerhard und Schauberger, Gunther (7. Januar 2014): Extended Ordered Paired Comparison Models with Application to Football Data from German Bundesliga. Department of Statistics: Technical Reports, Nr. 151 [PDF, 538kB]

Tutz, Gerhard und Groll, Andreas (2014): Variable Selection in Discrete Survival Models Including Heterogeneity. Department of Statistics: Technical Reports, Nr. 167 [PDF, 571kB]

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]

Oelker, Margret-Ruth und Tutz, Gerhard (11. März 2013): A General Family of Penalties for Combining Differing Types of Penalties in Generalized Structured Models. Department of Statistics: Technical Reports, Nr. 139 [PDF, 802kB]

Heinzl, Felix und Tutz, Gerhard (14. Februar 2013): Clustering in Additive Mixed Models with Approximate Dirichlet Process Mixtures using the EM Algorithm. Department of Statistics: Technical Reports, Nr. 138 [PDF, 1MB]

Tutz, Gerhard und Schauberger, Gunther (7. Dezember 2012): A Penalty Approach to Differential Item Functioning in Rasch Models. Department of Statistics: Technical Reports, Nr. 134 [PDF, 588kB]

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]

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]

Tutz, Gerhard und Schauberger, Gunther (2. April 2012): Visualization of Categorical Response Models - from Data Glyphs to Parameter Glyphs. Department of Statistics: Technical Reports, Nr. 117 [PDF, 975kB]

Oelker, Margret-Ruth; Gertheiss, Jan und Tutz, Gerhard (6. März 2012): Regularization and Model Selection with Categorial Predictors and Effect Modifiers in Generalized Linear Models. Department of Statistics: Technical Reports, Nr. 122 [PDF, 596kB]

Heinzl, Felix und Tutz, Gerhard (17. November 2011): Clustering in linear mixed models with Dirichlet process mixtures using EM algorithm. Department of Statistics: Technical Reports, Nr. 115 [PDF, 698kB]

Groll, Andreas

und Tutz, Gerhard

(3. Juni 2011): Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation. Department of Statistics: Technical Reports, Nr. 108 [PDF, 4MB]

Groll, Andreas und Tutz, Gerhard (Juni 2011): Regularization for Generalized Additive Mixed Models by Likelihood-Based Boosting. Department of Statistics: Technical Reports, Nr. 110 [PDF, 5MB]

Petry, Sebastian; Flexeder, Claudia und Tutz, Gerhard (2. März 2011): Pairwise Fused Lasso. Department of Statistics: Technical Reports, Nr. 102 [PDF, 745kB]

Ulbricht, Jan und Tutz, Gerhard (2011): Combining Quadratic Penalization and Variable Selection via Forward Boosting. Department of Statistics: Technical Reports, Nr. 99 [PDF, 1MB]

Zahid, Faisal Maqbool und Tutz, Gerhard (2011): Proportional Odds Models with High-dimensional Data Structure. Department of Statistics: Technical Reports, Nr. 100 [PDF, 989kB]

Petry, Sebastian und Tutz, Gerhard (2011): The OSCAR for Generalized Linear Models. Department of Statistics: Technical Reports, Nr. 112 [PDF, 745kB]

Tutz, Gerhard und Groll, Andreas (Dezember 2010): Binary and Ordinal Random Effects Models Including Variable Selection. Department of Statistics: Technical Reports, Nr. 97 [PDF, 1MB]

Tutz, Gerhard und Petry, Sebastian (9. Juli 2010): Nonparametric Estimation of the Link Function Including Variable Selection. Department of Statistics: Technical Reports, Nr. 85 [PDF, 3MB]

Robinzonov, Nikolay; Tutz, Gerhard und Hothorn, Torsten (2010): Boosting Techniques for Nonlinear Time Series Models. Department of Statistics: Technical Reports, Nr. 75 [PDF, 2MB]

Zahid, Faisal Maqbool und Tutz, Gerhard (2010): Multinomial Logit Models with Implicit Variable Selection. Department of Statistics: Technical Reports, Nr. 89 [PDF, 461kB]

Gertheiss, Jan und Tutz, Gerhard (2010): Regularization and Model Selection with Categorial Effect Modifiers. Department of Statistics: Technical Reports, Nr. 73 Statistica Sinica (to appear) [PDF, 2MB]

Zahid, Faisal Maqbool und Tutz, Gerhard (September 2009): Ridge Estimation for Multinomial Logit Models with Symmetric Side Constraints. Department of Statistics: Technical Reports, Nr. 67 [PDF, 287kB]

Gertheiss, Jan; Hogger, Sara; Oberhauser, Cornelia und Tutz, Gerhard (Juli 2009): Selection of Ordinally Scaled Independent Variables. Department of Statistics: Technical Reports, Nr. 62 Applied Statistics (accepted for publication) [PDF, 2MB]

Petry, Sebastian und Tutz, Gerhard (7. April 2009): Shrinkage and Variable Selection by Polytopes. Department of Statistics: Technical Reports, Nr. 53 [PDF, 963kB]

Strobl, Carolin; Malley, James und 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, Nr. 55 [PDF, 974kB]

Slawski, Martin; Castell, Wolfgang zu und Tutz, Gerhard (9. März 2009): Feature Selection Guided by Structural Information. Department of Statistics: Technical Reports, Nr. 51 [PDF, 1MB]

Gertheiss, Jan und Tutz, Gerhard (2009): Sparse Modeling of Categorial Explanatory Variables. Department of Statistics: Technical Reports, Nr. 60 The Annals of Applied Statistics, 4 [PDF, 2MB]

Leitenstorfer, Florian und Tutz, Gerhard (20. Juni 2008): Estimation of Single-Index Models Based on Boosting Techniques. Department of Statistics: Technical Reports, Nr. 34 [PDF, 782kB]

Gertheiss, Jan und Tutz, Gerhard (19. Juni 2008): Feature Selection and Weighting by Nearest Neighbor Ensembles. Department of Statistics: Technical Reports, Nr. 33 Chemometrics and Intelligent Laboratory Systems, 99 [PDF, 2MB]

Gertheiss, Jan und Tutz, Gerhard (9. Januar 2008): Penalized Regression with Ordinal Predictors. Department of Statistics: Technical Reports, Nr. 15 International Statistical Review, 77 [PDF, 2MB]

Tutz, Gerhard und Gertheiss, Jan (20. Dezember 2007): Feature Extraction in Signal Regression: A Boosting Technique for Functional Data Regression. Department of Statistics: Technical Reports, Nr. 11 Journal of Computational and Graphical Statistics, 19 [PDF, 2MB]

Ulbricht, Jan und Tutz, Gerhard (11. Dezember 2007): Boosting Correlation Based Penalization in Generalized Linear Models. Department of Statistics: Technical Reports, Nr. 9 [PDF, 718kB]

Kneib, Thomas; Hothorn, Torsten und Tutz, Gerhard (2007): Variable Selection and Model Choice in Geoadditive Regression Models. Department of Statistics: Technical Reports, Nr. 3 [PDF, 1MB]

Shafik, Nivien und Tutz, Gerhard (2007): Boosting Nonlinear Additive Autoregressive Time Series. Department of Statistics: Technical Reports, Nr. 6 [PDF, 776kB]

Leitenstorfer, Florian und Tutz, Gerhard (2006): Smoothing with Curvature Constraints based on Boosting Techniques. Sonderforschungsbereich 386, Discussion Paper 467 [PDF, 319kB]

Leitenstorfer, Florian und Tutz, Gerhard (2006): Knot selection by boosting techniques. Sonderforschungsbereich 386, Discussion Paper 481 [PDF, 654kB]

Reithinger, Florian; Jank, Wolfgang; Tutz, Gerhard und Shmueli, Galit (2006): Smoothing sparse and unevenly sampled curves using semiparametric mixed models: An application to online auctions. Sonderforschungsbereich 386, Discussion Paper 483 [PDF, 839kB]

Krämer, N.; Boulesteix, Anne-Laure und Tutz, Gerhard (2006): Penalized Partial Least Squares Based on B-Splines Transformations. Sonderforschungsbereich 386, Discussion Paper 485 [PDF, 392kB]

Tutz, Gerhard und Ulbricht, Jan (2006): Penalized Regression with Correlation Based Penalty. Sonderforschungsbereich 386, Discussion Paper 486 [PDF, 472kB]

Tutz, Gerhard und Leitenstorfer, Florian (2005): Generalized smooth monotonic regression. Sonderforschungsbereich 386, Discussion Paper 417 [PDF, 1MB]

Tutz, Gerhard und Binder, Harald (2005): Boosting Ridge Regression. Sonderforschungsbereich 386, Discussion Paper 418 [PDF, 1MB]

Leitenstorfer, Florian und Tutz, Gerhard (2005): Generalized Monotonic Regression Based on B-Splines with an Application to Air Pollution Data. Sonderforschungsbereich 386, Discussion Paper 444 [PDF, 681kB]

Tutz, Gerhard und Reithinger, Florian (2005): Flexible semiparametric mixed models. Sonderforschungsbereich 386, Discussion Paper 448 [PDF, 1MB]

Boulesteix, Anne-Laure und Tutz, Gerhard (2004): Identification of Interaction Patterns and Classification with Applications to Microarray Data. Sonderforschungsbereich 386, Discussion Paper 369 [PDF, 317kB]

Tutz, Gerhard und Binder, Harald (2004): Localized Regression. Sonderforschungsbereich 386, Discussion Paper 378 [PDF, 312kB]

Krause, Rüdiger und Tutz, Gerhard (2004): Simultaneous selection of variables and smoothing parameters by genetic algorithms. Sonderforschungsbereich 386, Discussion Paper 389 [PDF, 896kB]

Krause, Rüdiger und Tutz, Gerhard (2004): Variable selection and discrimination in gene expression data by genetic algorithms. Sonderforschungsbereich 386, Discussion Paper 390 [PDF, 401kB]

Linde, A. van der und Tutz, Gerhard (2004): On association in regression: the coefficient of determination revisited. Sonderforschungsbereich 386, Discussion Paper 391 [PDF, 390kB]

Einbeck, Jochen und Tutz, Gerhard (2004): Modelling beyond Regression Functions: an Application of Multimodal Regression to Speed-Flow Data. Sonderforschungsbereich 386, Discussion Paper 395 [PDF, 437kB]

Tutz, Gerhard und Binder, Harald (2004): Generalized additive modelling with implicit variable selection by likelihood based boosting. Sonderforschungsbereich 386, Discussion Paper 401 [PDF, 370kB]

Tutz, Gerhard und Scholz, T. (2003): Ordinal regression modelling between proportional odds and non-proportional odds. Sonderforschungsbereich 386, Discussion Paper 304 [PDF, 407kB]

Krause, Rüdiger und Tutz, Gerhard (2003): Additive Modelling with Penalized Regression Splines and Genetic Algorithms. Sonderforschungsbereich 386, Discussion Paper 312 [PDF, 652kB]

Boulesteix, Anne-Laure und Tutz, Gerhard (2003): A Framework to Discover Emerging Patterns for Application in Microarray Data. Sonderforschungsbereich 386, Discussion Paper 313 [PDF, 232kB]

Tutz, Gerhard (2003): Response smoothing estimators in binary regression. Sonderforschungsbereich 386, Discussion Paper 318 [PDF, 460kB]

Einbeck, Jochen; Tutz, Gerhard und Evers, L. (2003): Local Principal Curves. Sonderforschungsbereich 386, Discussion Paper 320 [PDF, 445kB]

Tutz, Gerhard und Hechenbichler, K. (2003): Aggregating Classifiers With Ordinal Response Structure. Sonderforschungsbereich 386, Discussion Paper 359 [PDF, 369kB]

Tutz, Gerhard und Binder, Harald (2002): Flexible Modelling of Discrete Failure Time Including Time-Varying Smooth Effects. Sonderforschungsbereich 386, Discussion Paper 294 [PDF, 361kB]

Tutz, Gerhard (2002): Modelling of repeated ordered measurements by isotonic sequential regression. Sonderforschungsbereich 386, Discussion Paper 298 [PDF, 244kB]

Kauermann, Göran und Tutz, Gerhard (2001): Vanishing of Risk Factors for the Success and Survival of Newly Founded Companies. Sonderforschungsbereich 386, Discussion Paper 242 [PDF, 343kB]

Tutz, Gerhard (2001): Generalized semiparametrically structured ordinal models. Sonderforschungsbereich 386, Discussion Paper 250 [PDF, 445kB]

Tutz, Gerhard (2001): Generalized semiparametrically structured mixed models. Sonderforschungsbereich 386, Discussion Paper 251 [PDF, 436kB]

Kauermann, Göran und Tutz, Gerhard (2000): Semiparametric Modeling of Ordinal Data. Sonderforschungsbereich 386, Discussion Paper 193 [PDF, 353kB]

Tutz, Gerhard und Scholz, T. (2000): Semiparametric Modelling of Multicategorical Data. Sonderforschungsbereich 386, Discussion Paper 209 [PDF, 313kB]

Kauermann, Göran und Tutz, Gerhard (1999): Testing Generalized Linear and Semiparametric Models Against Smooth Alternatives. Sonderforschungsbereich 386, Discussion Paper 149 [PDF, 385kB]

Dreesman, J. und Tutz, Gerhard (1999): Nonstationary conditional models for spatial data based on varying coefficients. Sonderforschungsbereich 386, Discussion Paper 150 [PDF, 287kB]

Tutz, Gerhard; Edlich, Silke und Bäumer, Christoph (1999): Comparison between local estimates for multi-categorical varying-coefficent models. Sonderforschungsbereich 386, Discussion Paper 151 [PDF, 299kB]

Buchbeitrag

Schauberger, Gunther und Tutz, Gerhard (2015): Regularization Methods in Economic Forecasting. In: Berana, Jan; Feng, Yuanhua und Hebbel, Hartmut (Hrsg.): Empirical Economic and Financial Research. Heidelberg: Springer International Publishing. S. 61-80

Tutz, Gerhard (2011): Poisson Regression. In: Lovric, Miodrag (Hrsg.): International Encyclopedia of Statistical Sciences. Berlin: Springer. S. 1075-1077

Heumann, Christian und Grenke, Moritz (2010): An efficient model averaging procedure for logistic regression models using a bayesian estimator with laplace prior. In: Kneib, Thomas und Tutz, Gerhard (Hrsg.): Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Heidelberg: Physica-Verlag. S. 79-90

Höhle, Michael (2010): Online Changepoint Detection in Categorical Time Series. In: Kneib, Thomas und Tutz, Gerhard (Hrsg.): Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Berlin, Heidelberg: Physica-Verlag. S. 377-397

Mansmann, Ulrich; Schmidberger, Markus; Strobl, Ralf und Jurinovic, Vindi (2010): Indirect Comparison of Interaction Graphs. In: Kneib, Thomas und Tutz, Gerhard (Hrsg.): Statistical Modelling and Regression Structures -- Festschrift in Honour of Ludwig Fahrmeir. Physica-Verlag. S. 472

Spiess, Martin und Tutz, Gerhard (2010): Logistische Regressionsverfahren für mehrkategoriale Zielvariablen. In: Schmitz, Bernhard und Holling, Heinz (Hrsg.): Handbuch der psychologischen Methoden und Evaluation. Göttingen: Hogrefe Verlag. S. 509-517

Tutz, Gerhard (2010): Regression für Zählvariablen. In: Best, Henning und Wolf, Christof (Hrsg.): Handbuch der sozialwissenschaftlichen Datenanalyse. München: Vahlen Verlag. S. 859-876

Tutz, Gerhard

und Groll, Andreas (2010): Generalized linear mixed models based on boosting. In: Kneib, Thomas (Hrsg.): Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Heidelberg: Physica-Verlag, Springer. S. 197-215

Tutz, Gerhard und Strobl, Carolin (2010): Generalisierte lineare Modelle. In: Schmitz, Bernhard und Holling, Heinz (Hrsg.): Handbuch der psychologischen Methoden und Evaluation. Göttingen: Hogrefe Verlag. S. 461-471

Gertheiss, Jan und Tutz, Gerhard (2009): Statistische Tests. In: Schwaiger, Manfred und Meyer, Anton (Hrsg.): Theorien und Methoden der Betriebswirtschaft. München: Vahlen. S. 439-454

Konferenzbeitrag

Tutz, Gerhard und Oelker, Magret-Ruth (2013): Modeling heterogeneity by fixed effects models. 28th International Workshop on Statistical Modelling, Palermo, 8.-12. Juli 2013. Muggeo, Vito M. R.; Capursi, Vincenza; Boscaino, Giovanni und Lovison, Gianfranco (Hrsg.): In: Proceedings of the 28th International Workshop on Statistical Modelling, S. 807-811

Heinzl, Felix und Tutz, Gerhard (2012): Clustering in linear mixed models with Dirichlet process mixtures using EM algorithm. 27th International Workshop on Statistical Modelling, Prag, 16.-20. Juli 2012. Komárek, Arnošt und Nagy, Stanislav (Hrsg.): In: Proceedings of the 27st International Workshop on Statistical Modelling, Prag, S. 153-158

Oelker, Magret-Ruth; Gertheiss, Jan und Tutz, Gerhard (2012): Categorial effect modifiers in generalized linear models. 20th International Conference on COMPUTATIONAL STATISTICS (COMPSTAT 2012), Limassol, 27.-31. August 2012. Colubi, Ana; Fokianos, Konstantinos; Kontoghiorghes, Erricos John und Gonzalez-Rodriguez, G. (Hrsg.): In: Proceedings of COMPSTAT 2012,

Schauberger, Gunther und Tutz, Gerhard (2012): Effect Stars for Categorical Response Models. 27th International Workshop on Statistical Modelling, Prag, 16.-20. Juli 2012. Komárek, Arnošt und Nagy, Stanislav (Hrsg.): In: Proceedings of the 27st International Workshop on Statistical Modelling, Prag,

Tutz, Gerhard und Pößnecker, Wolfgang (2012): Variable Selection for the Multinomial Logit Model. 27th International Workshop on Statistical Modelling, Prag, 16.-20. Juli 2012. Komárek, Arnošt und Nagy, Stanislav (Hrsg.): In: Proceedings of the 27st International Workshop on Statistical Modelling, Prag, S. 339-344

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