Gerhard Tutz

According to our database1, Gerhard Tutz authored at least 42 papers between 1990 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.



In proceedings 
PhD thesis 




Tree-structured scale effects in binary and ordinal regression.
Stat. Comput., 2021

Multiple imputation using nearest neighbor methods.
Inf. Sci., 2021

Imputation methods for high-dimensional mixed-type datasets by nearest neighbors.
Comput. Biol. Medicine, 2021

Modelling heterogeneity: on the problem of group comparisons with logistic regression and the potential of the heterogeneous choice model.
Adv. Data Anal. Classif., 2020

Comments on The class of cub models: statistical foundations, inferential issues and empirical evidence by D. Piccolo and R. Simone.
Stat. Methods Appl., 2019

Tree-structured modelling of varying coefficients.
Stat. Comput., 2019

Tree-structured modelling of categorical predictors in generalized additive regression.
Adv. Data Anal. Classif., 2018

Mixture models for ordinal responses to account for uncertainty of choice.
Adv. Data Anal. Classif., 2017

A uniform framework for the combination of penalties in generalized structured models.
Adv. Data Anal. Classif., 2017

Improved nearest neighbor classifiers by weighting and selection of predictors.
Stat. Comput., 2016

Additive mixed models with approximate Dirichlet process mixtures: the EM approach.
Stat. Comput., 2016

Comparison of Maximum Likelihood with Conditional Pairwise Likelihood Estimation of Person Parameters in the Rasch Model.
Commun. Stat. Simul. Comput., 2016

Random forest for ordinal responses: Prediction and variable selection.
Comput. Stat. Data Anal., 2016

Improved methods for the imputation of missing data by nearest neighbor methods.
Comput. Stat. Data Anal., 2015

Variable selection in general multinomial logit models.
Comput. Stat. Data Anal., 2015

Variable selection for generalized linear mixed models by L 1-penalized estimation.
Stat. Comput., 2014

Regularization and Model Selection with Categorical Covariates.
Proceedings of the Algorithms from and for Nature and Life, 2013

Ridge estimation for multinomial logit models with symmetric side constraints.
Comput. Stat., 2013

Multinomial logit models with implicit variable selection.
Adv. Data Anal. Classif., 2013

Nonparametric estimation of the link function including variable selection.
Stat. Comput., 2012

Poisson Regression.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Guest Editorial: Regularisation Methods in Regression and Classification.
Stat. Comput., 2010

Penalized regression with correlation-based penalty.
Stat. Comput., 2009

Boosting nonlinear additive autoregressive time series.
Comput. Stat. Data Anal., 2009

Supervised feature selection in mass spectrometry-based proteomic profiling by blockwise boosting.
Bioinform., 2009

A comparison of methods for the fitting of generalized additive models.
Stat. Comput., 2008

Boosting ridge regression.
Comput. Stat. Data Anal., 2007

Knot selection by boosting techniques.
Comput. Stat. Data Anal., 2007

Genetic algorithms for the selection of smoothing parameters in additive models.
Comput. Stat., 2006

Response shrinkage estimators in binary regression.
Comput. Stat. Data Anal., 2006

Identification of interaction patterns and classification with applications to microarray data.
Comput. Stat. Data Anal., 2006

A Boosting Approach to Generalized Monotonic Regression.
Proceedings of the Advances in Data Analysis, 2006

Localized classification.
Stat. Comput., 2005

Local principal curves.
Stat. Comput., 2005

Generalized semiparametrically structured mixed models.
Comput. Stat. Data Anal., 2004

Bagging, Boosting and Ordinal Classification.
Proceedings of the Classification, 2004

Exploring Multivariate Data Structures with Local Principal Curves.
Proceedings of the Classification, 2004

Generalized linear random effects models with varying coefficients.
Comput. Stat. Data Anal., 2003

A CART-based approach to discover emerging patterns in microarray data.
Bioinform., 2003

Discrete kernels, loss functions and parametric models in discrete discrimination: A comparative study.
Math. Methods Oper. Res., 1995

Log-linear parameterizations in discriminant analysis.
ZOR Methods Model. Oper. Res., 1990

Alternative parameterizations in business tendency surveys.
ZOR Methods Model. Oper. Res., 1990