Gerhard Tutz

According to our database, Gerhard Tutz authored at least 47 papers between 1985 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Probability and non-probability samples: Improving regression modeling by using data from different sources.

Gerhard Tutz

Inf. Sci., April, 2023

2022

Nearest neighbor imputation for categorical data by weighting of attributes.

Shahla Faisal, Gerhard Tutz

Inf. Sci., 2022

Ordinal Trees and Random Forests: Score-Free Recursive Partitioning and Improved Ensembles.

Gerhard Tutz

J. Classif., 2022

2021

Tree-structured scale effects in binary and ordinal regression.

Gerhard Tutz, Moritz Berger

Stat. Comput., 2021

Multiple imputation using nearest neighbor methods.

Shahla Faisal, Gerhard Tutz

Inf. Sci., 2021

Imputation methods for high-dimensional mixed-type datasets by nearest neighbors.

Shahla Faisal, Gerhard Tutz

Comput. Biol. Medicine, 2021

2020

Modelling heterogeneity: on the problem of group comparisons with logistic regression and the potential of the heterogeneous choice model.

Gerhard Tutz

Adv. Data Anal. Classif., 2020

2019

Comments on The class of cub models: statistical foundations, inferential issues and empirical evidence by D. Piccolo and R. Simone.

Gerhard Tutz

Stat. Methods Appl., 2019

Tree-structured modelling of varying coefficients.

Moritz Berger, Gerhard Tutz, Matthias Schmid

Stat. Comput., 2019

2018

Tree-structured modelling of categorical predictors in generalized additive regression.

Gerhard Tutz, Moritz Berger

Adv. Data Anal. Classif., 2018

2017

Mixture models for ordinal responses to account for uncertainty of choice.

Gerhard Tutz, Micha Schneider, Maria Iannario, Domenico Piccolo

Adv. Data Anal. Classif., 2017

A uniform framework for the combination of penalties in generalized structured models.

Margret-Ruth Oelker, Gerhard Tutz

Adv. Data Anal. Classif., 2017

2016

Improved nearest neighbor classifiers by weighting and selection of predictors.

Gerhard Tutz, Dominik Koch

Stat. Comput., 2016

Additive mixed models with approximate Dirichlet process mixtures: the EM approach.

Felix Heinzl, Gerhard Tutz

Stat. Comput., 2016

Comparison of Maximum Likelihood with Conditional Pairwise Likelihood Estimation of Person Parameters in the Rasch Model.

Clemens Draxler, Gerhard Tutz, Katharina Zink, Can Gürer

Commun. Stat. Simul. Comput., 2016

Random forest for ordinal responses: Prediction and variable selection.

Silke Janitza, Gerhard Tutz, Anne-Laure Boulesteix

Comput. Stat. Data Anal., 2016

2015

Improved methods for the imputation of missing data by nearest neighbor methods.

Gerhard Tutz, Shahla Ramzan

Comput. Stat. Data Anal., 2015

Variable selection in general multinomial logit models.

Gerhard Tutz, Wolfgang Pößnecker, Lorenz Uhlmann

Comput. Stat. Data Anal., 2015

2014

Variable selection for generalized linear mixed models by L 1-penalized estimation.

Andreas Groll, Gerhard Tutz

Stat. Comput., 2014

2013

Regularization and Model Selection with Categorical Covariates.

Jan Gertheiss, Veronika Stelz, Gerhard Tutz

Proceedings of the Algorithms from and for Nature and Life, 2013

Ridge estimation for multinomial logit models with symmetric side constraints.

Faisal Maqbool Zahid, Gerhard Tutz

Comput. Stat., 2013

Multinomial logit models with implicit variable selection.

Faisal Maqbool Zahid, Gerhard Tutz

Adv. Data Anal. Classif., 2013

2012

Nonparametric estimation of the link function including variable selection.

Gerhard Tutz, Sebastian Petry

Stat. Comput., 2012

2011

Poisson Regression.

Gerhard Tutz

Proceedings of the International Encyclopedia of Statistical Science, 2011

2010

Guest Editorial: Regularisation Methods in Regression and Classification.

Gerhard Tutz

Stat. Comput., 2010

2009

Penalized regression with correlation-based penalty.

Gerhard Tutz, Jan Ulbricht

Stat. Comput., 2009

Boosting nonlinear additive autoregressive time series.

Nivien Shafik, Gerhard Tutz

Comput. Stat. Data Anal., 2009

Supervised feature selection in mass spectrometry-based proteomic profiling by blockwise boosting.

Jan Gertheiss, Gerhard Tutz

Bioinform., 2009

2008

A comparison of methods for the fitting of generalized additive models.

Harald Binder, Gerhard Tutz

Stat. Comput., 2008

2007

Boosting ridge regression.

Gerhard Tutz, Harald Binder

Comput. Stat. Data Anal., 2007

Knot selection by boosting techniques.

Florian Leitenstorfer, Gerhard Tutz

Comput. Stat. Data Anal., 2007

2006

Genetic algorithms for the selection of smoothing parameters in additive models.

Rüdiger Krause, Gerhard Tutz

Comput. Stat., 2006

Response shrinkage estimators in binary regression.

Gerhard Tutz, Florian Leitenstorfer

Comput. Stat. Data Anal., 2006

Identification of interaction patterns and classification with applications to microarray data.

Anne-Laure Boulesteix, Gerhard Tutz

Comput. Stat. Data Anal., 2006

A Boosting Approach to Generalized Monotonic Regression.

Florian Leitenstorfer, Gerhard Tutz

Proceedings of the Advances in Data Analysis, 2006

2005

Localized classification.

Gerhard Tutz, Harald Binder

Stat. Comput., 2005

Local principal curves.

Jochen Einbeck, Gerhard Tutz, Ludger Evers

Stat. Comput., 2005

2004

Generalized semiparametrically structured mixed models.

Gerhard Tutz

Comput. Stat. Data Anal., 2004

Bagging, Boosting and Ordinal Classification.

Klaus Hechenbichler, Gerhard Tutz

Proceedings of the Classification, 2004

Exploring Multivariate Data Structures with Local Principal Curves.

Jochen Einbeck, Gerhard Tutz, Ludger Evers

Proceedings of the Classification, 2004

2003

Generalized linear random effects models with varying coefficients.

Gerhard Tutz, Göran Kauermann

Comput. Stat. Data Anal., 2003

A CART-based approach to discover emerging patterns in microarray data.

Anne-Laure Boulesteix, Gerhard Tutz, Korbinian Strimmer

Bioinform., 2003

1995

Discrete kernels, loss functions and parametric models in discrete discrimination: A comparative study.

Gerhard Tutz, Herbert Groß

Math. Methods Oper. Res., 1995

1990

Log-linear parameterizations in discriminant analysis.

Gerhard Tutz

ZOR Methods Model. Oper. Res., 1990

Alternative parameterizations in business tendency surveys.

Bernd Morawitz, Gerhard Tutz

ZOR Methods Model. Oper. Res., 1990

1985

Smoothed additive estimators for non-error rates in multiple discriminant analysis.

Gerhard E. Tutz

Pattern Recognit., 1985

Book reviews.

Helmut Wegmann, R. Horst, J. Falkinger, Gerhard E. Tutz, Hans Laux, Heinz W. Engl, Anatol Rapoport

Z. Oper. Research, 1985