Mathematics, Computer Science and Statistics > Statistics > Chairs/Working Groups > Seminar for Applied Stochastic

A

Asgharian, Hossein; Hess, Wolfgang; Liu, Lu (2013): A spatial analysis of international stock market linkages. In: Journal of Banking & Finance, Vol. 37, No. 12: pp. 4738-4754

B

Berger, Moritz; Tutz, Gerhard (2016): Detection of Uniform and Nonuniform Differential Item Functioning by Item Focussed Trees. In: Journal of Educational and Behavioral Statistics, Vol. 41, No. 6: pp. 559-592 [PDF, 658kB]

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

C

Casalicchio, Giuseppe; Tutz, Gerhard; Schauberger, Gunther (2015): Subject-specific Bradley-Terry-Luce models with implicit variable selection. In: Statistical Modelling, Vol. 15, No. 6: pp. 526-547 [PDF, 249kB]

D

Draxler, Clemens; Tutz, Gerhard; Zink, Katharina; 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, Vol. 45, No. 6: pp. 2007-2017

F

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

G

Gertheiss, Jan; Hogger, Sarah; Oberhauser, Cornelia; 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, Vol. 60: pp. 377-396

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

Gertheiss, Jan; Tutz, Gerhard (2009): Penalized regression with ordinal predictors. In: International Statistical Review, Vol. 77: pp. 345-365

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

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

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

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

Groll, Andreas; Schauberger, Gunther; 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, Vol. 11, No. 2: pp. 97-115 [PDF, 2MB]

Groll, Andreas; Tutz, Gerhard (2012): Regularization for Generalized Additive Mixed Models by Likelihood-Based Boosting. In: Methods of Information in Medicine, Vol. 51: pp. 168-77

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

Groll, Andreas; Tutz, Gerhard (2014): Variable selection for generalized linear mixed models by L1-penalized estimation. In: Statistics and Computing, Vol. 24, No. 2: pp. 137-154

H

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

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

Heinzl, Felix; Tutz, Gerhard (2014): Clustering in linear-mixed models with a group fused lasso penalty. In: Biometrical Journal, Vol. 56, No. 1: pp. 44-68

Heinzl, Felix; Tutz, Gerhard (2012): Clustering in linear mixed models with Dirichlet process mixtures using EM algorithm. 27th International Workshop on Statistical Modelling, 16.-20. Juli 2012, Prag.

Hess, Wolfgang; Schwarzkopf, Larissa; Hunger, Matthias; Holle, Rolf (2014): Competing-risks duration models with correlated random effects: an application to dementia patients' transition histories. In: Statistics in Medicine, Vol. 33, No. 22: pp. 3919-3931

Hess, Wolfgang; Tutz, Gerhard; Gertheiss, Jan (2016): A Flexible Link Function for Discrete-Time Duration Models. In: Journal of Economics and Statistics, Vol. 236, No. 4: pp. 455-481

Heurich, Marco; Möst, Lisa; Schauberger, Gunther; Reulen, Holger; Sustr, Pavel; Hothorn, Torsten (2012): Survival and causes of death of European Roe Deer before and after Eurasian Lynx reintroduction in the Bavarian Forest National Park. In: European Journal of Wildlife Research, Vol. 58, No. 3: pp. 567-578

K

Kneib, Thomas; Hothorn, Torsten; Tutz, Gerhard (2009): Variable Selection and Model Choice in Geoadditive Regression Models. In: Biometrics, Vol. 65, No. 2: pp. 626-634

L

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

M

Mauerer, Ingrid; Pößnecker, Wolfgang; Thurner, Paul W.; 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, Vol. 16: pp. 23-42

Möller, Annette; Tutz, Gerhard; Gertheiss, Jan (2016): Random forests for functional covariates. In: Journal of Chemometrics, Vol. 30, No. 12: pp. 715-725

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

O

Oelker, Magret-Ruth; Gertheiss, Jan; Tutz, Gerhard (2014): Regularization and model selection with categorical predictors and effect modifiers in generalized linear models. In: Statistical Modeling, Vol. 14, No. 2: pp. 157-177 [PDF, 454kB]

Oelker, Magret-Ruth; Pößnecker, Wolfgang; Tutz, Gerhard (2015): Selection and fusion of categorical predictors with L₀-type penalties. In: Statistical Modelling, Vol. 15, No. 5: pp. 389-410 [PDF, 504kB]

Oelker, Magret-Ruth; Sobotka, Fabian; Kneib, Thomas (2014): On (semiparametric) mode regression. 29th International Workshop on Statistical Modelling, 14.-18. Juli 2014, Göttingen.

P

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

R

Robinzonov, Nikolay; Tutz, Gerhard; Hothorn, Torsten (2012): Boosting techniques for nonlinear time series models. In: AStA Advances in Statistical Analysis, Vol. 96, No. 1: pp. 99-122

S

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

Schauberger, Gunther; Tutz, Gerhard (2016): Detection of differential item functioning in Rasch models by boosting techniques. In: British Journal of Mathematical and Statistical Psychology, Vol. 69, No. 1: pp. 80-103

Schauberger, Gunther; Tutz, Gerhard (2017): Subject-specific modelling of paired comparison data: A lasso-type penalty approach. In: Statistical Modelling, Vol. 17, No. 3: pp. 223-243 [PDF, 548kB]

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

Schauberger, Gunther; Tutz, Gerhard (2012): Effect Stars for Categorical Response Models. 27th International Workshop on Statistical Modelling, 16.-20. Juli 2012, Prag.

Schmid, Matthias; Küchenhoff, Helmut ORCID: 0000-0002-6372-2487; Hoerauf, Achim; Tutz, Gerhard (2016): A survival tree method for the analysis of discrete event times in clinical and epidemiological studies. In: Statistics in Medicine, Vol. 35, No. 5: pp. 734-751

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

Slawski, Martin; Castell, Wolfgang zu; Tutz, Gerhard (2010): Feature Selection Guided by Structural Information. In: Annals of Applied Statistics, Vol. 4, No. 2: pp. 1056-1080

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

T

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

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

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

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

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

Tutz, Gerhard; Gertheiss, Jan (2014): Rating Scales as Predictors - The Old Question of Scale Level and Some Answers. In: Psychometrika, Vol. 79, No. 3: pp. 357-376

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

Tutz, Gerhard; Gertheiss, Jan (2016): Regularized Regression for Categorical Data. In: Statistical Modelling, Vol. 16, No. 3: pp. 161-200 [PDF, 832kB]

Tutz, Gerhard; Gertheiss, Jan (2016): Rejoinder: Regularized Regression for Categorical Data. In: Statistical Modelling, Vol. 16, No. 3: pp. 249-260 [PDF, 273kB]

Tutz, Gerhard; Groll, Andreas (2013): Likelihood-Based Boosting in Binary and Ordinal Random Effects Models. In: Journal of Computational and Graphical Statistics, Vol. 22, No. 2: pp. 356-378

Tutz, Gerhard; Groll, Andreas (2010): Generalized linear mixed models based on boosting. In: Kneib, Thomas (ed.) : Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Heidelberg: Physica-Verlag. pp. 197-216

Tutz, Gerhard; Koch, Dominik (2016): Improved nearest neighbor classifiers by weighting and selection of predictors. In: Statistics and Computing, Vol. 26, No. 5: pp. 1039-1057

Tutz, Gerhard; Koch, Dominik (2016): Improved nearest neighbor classifiers by weighting and selection of predictors. In: Statistics and Computing, Vol. 26, No. 5: pp. 1039-1057

Tutz, Gerhard; Oelker, Magret-Ruth (2013): Modeling heterogeneity by fixed effects models. 28th International Workshop on Statistical Modelling, 8.-12. Juli 2013, Palermo.

Tutz, Gerhard; Petry, Sebastian (2016): Generalized Additive Models with Unknown Link Function Including Variable Selection. In: Journal of Applied Statistics, Vol. 43, No. 15: pp. 2866-2885

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

Tutz, Gerhard; Pößnecker, Wolfgang (2012): Variable Selection for the Multinomial Logit Model. 27th International Workshop on Statistical Modelling, 16.-20. Juli 2012, Prag.

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

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

Tutz, Gerhard; Schauberger, Gunther (2015): A Penalty Approach to Differential Item Functioning in Rasch Models. In: Psychometrika, Vol. 80, No. 1: pp. 21-43

Tutz, Gerhard; Schauberger, Gunther (2015): A Penalty Approach to Differential Item Functioning in Rasch Models. In: Psychometrika, Vol. 80, No. 1: pp. 21-43

Tutz, Gerhard; Schauberger, Gunther (2015): Extended ordered paired comparison models with application to football data from German Bundesliga. In: AStA Advances in Statistical Analysis, Vol. 99, No. 2: pp. 209-227

Tutz, Gerhard; Schauberger, Gunther (2015): Extended ordered paired comparison models with application to football data from German Bundesliga. In: Advances in Statistical Analysis, Vol. 99, No. 2: pp. 209-227

Tutz, Gerhard; Schauberger, Gunther (2013): Visualization of Categorical Response Models - from Data Glyphs to Parameter Glyphs. In: Journal of Computational and Graphical Statistics, Vol. 22, No. 1: pp. 156-177

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

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

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

Z

Zahid, Faisal M.; Tutz, Gerhard (2013): Multinomial Logit Models with Implicit Variable Selection. In: Advances in Data Analysis and Classification, Vol. 7, No. 4: pp. 393-416

Zahid, Faisal M.; Tutz, Gerhard (2013): Ridge Estimation for Multinomial Logit Models with Symmetric Side Constraints. In: Computational Statistics, Vol. 28, No. 3: pp. 1017-1034