Gerhard Tutz - RankMe

45 papers Journal 40Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Probability and non-probability samples: Improving regression modeling by using data from different sources. Inf. Sci. Gerhard Tutz
2022	J	`jnl`	Nearest neighbor imputation for categorical data by weighting of attributes. Inf. Sci. Shahla Faisal, Gerhard Tutz
2022	J	`jnl`	Ordinal Trees and Random Forests: Score-Free Recursive Partitioning and Improved Ensembles. J. Classif. Gerhard Tutz
2021	J	`jnl`	Imputation methods for high-dimensional mixed-type datasets by nearest neighbors. Comput. Biol. Medicine Shahla Faisal, Gerhard Tutz
2021	J	`jnl`	Multiple imputation using nearest neighbor methods. Inf. Sci. Shahla Faisal, Gerhard Tutz
2021	J	`jnl`	Tree-structured scale effects in binary and ordinal regression. Stat. Comput. Gerhard Tutz, Moritz Berger
2020	J	`jnl`	Modelling heterogeneity: on the problem of group comparisons with logistic regression and the potential of the heterogeneous choice model. Adv. Data Anal. Classif. Gerhard Tutz
2019	J	`jnl`	Comments on The class of cub models: statistical foundations, inferential issues and empirical evidence by D. Piccolo and R. Simone. Stat. Methods Appl. Gerhard Tutz
2019	J	`jnl`	Tree-structured modelling of varying coefficients. Stat. Comput. Moritz Berger, Gerhard Tutz, Matthias Schmid
2018	J	`jnl`	Tree-structured modelling of categorical predictors in generalized additive regression. Adv. Data Anal. Classif. Gerhard Tutz, Moritz Berger
2017	J	`jnl`	A uniform framework for the combination of penalties in generalized structured models. Adv. Data Anal. Classif. Margret-Ruth Oelker, Gerhard Tutz
2017	J	`jnl`	Mixture models for ordinal responses to account for uncertainty of choice. Adv. Data Anal. Classif. Gerhard Tutz, Micha Schneider, Maria Iannario, Domenico Piccolo
2016	J	`jnl`	Additive mixed models with approximate Dirichlet process mixtures: the EM approach. Stat. Comput. Felix Heinzl, Gerhard Tutz
2016	J	`jnl`	Comparison of Maximum Likelihood with Conditional Pairwise Likelihood Estimation of Person Parameters in the Rasch Model. Commun. Stat. Simul. Comput. Clemens Draxler, Gerhard Tutz, Katharina Zink, Can Gürer
2016	J	`jnl`	Improved nearest neighbor classifiers by weighting and selection of predictors. Stat. Comput. Gerhard Tutz, Dominik Koch
2016	J	`jnl`	Random forest for ordinal responses: Prediction and variable selection. Comput. Stat. Data Anal. Silke Janitza, Gerhard Tutz, Anne-Laure Boulesteix
2015	J	`jnl`	Improved methods for the imputation of missing data by nearest neighbor methods. Comput. Stat. Data Anal. Gerhard Tutz, Shahla Ramzan
2015	J	`jnl`	Variable selection in general multinomial logit models. Comput. Stat. Data Anal. Gerhard Tutz, Wolfgang Pößnecker, Lorenz Uhlmann
2014	J	`jnl`	Variable selection for generalized linear mixed models by L 1-penalized estimation. Stat. Comput. Andreas Groll, Gerhard Tutz
2013	J	`jnl`	Multinomial logit models with implicit variable selection. Adv. Data Anal. Classif. Faisal Maqbool Zahid, Gerhard Tutz
2013	—	`ch.`	Regularization and Model Selection with Categorical Covariates. Algorithms from and for Nature and Life Jan Gertheiss, Veronika Stelz, Gerhard Tutz
2013	J	`jnl`	Ridge estimation for multinomial logit models with symmetric side constraints. Comput. Stat. Faisal Maqbool Zahid, Gerhard Tutz
2012	J	`jnl`	Nonparametric estimation of the link function including variable selection. Stat. Comput. Gerhard Tutz, Sebastian Petry
2011	—	`ch.`	Poisson Regression. International Encyclopedia of Statistical Science Gerhard Tutz
2010	J	`jnl`	Guest Editorial: Regularisation Methods in Regression and Classification. Stat. Comput. Gerhard Tutz
2009	J	`jnl`	Boosting nonlinear additive autoregressive time series. Comput. Stat. Data Anal. Nivien Shafik, Gerhard Tutz
2009	J	`jnl`	Penalized regression with correlation-based penalty. Stat. Comput. Gerhard Tutz, Jan Ulbricht
2009	J	`jnl`	Supervised feature selection in mass spectrometry-based proteomic profiling by blockwise boosting. Bioinform. Jan Gertheiss, Gerhard Tutz
2008	J	`jnl`	A comparison of methods for the fitting of generalized additive models. Stat. Comput. Harald Binder, Gerhard Tutz
2007	J	`jnl`	Boosting ridge regression. Comput. Stat. Data Anal. Gerhard Tutz, Harald Binder
2007	J	`jnl`	Knot selection by boosting techniques. Comput. Stat. Data Anal. Florian Leitenstorfer, Gerhard Tutz
2006	—	`conf`	A Boosting Approach to Generalized Monotonic Regression. GfKl Florian Leitenstorfer, Gerhard Tutz
2006	J	`jnl`	Genetic algorithms for the selection of smoothing parameters in additive models. Comput. Stat. Rüdiger Krause, Gerhard Tutz
2006	J	`jnl`	Identification of interaction patterns and classification with applications to microarray data. Comput. Stat. Data Anal. Anne-Laure Boulesteix, Gerhard Tutz
2006	J	`jnl`	Response shrinkage estimators in binary regression. Comput. Stat. Data Anal. Gerhard Tutz, Florian Leitenstorfer
2005	J	`jnl`	Local principal curves. Stat. Comput. Jochen Einbeck, Gerhard Tutz, Ludger Evers
2005	J	`jnl`	Localized classification. Stat. Comput. Gerhard Tutz, Harald Binder
2004	—	`conf`	Bagging, Boosting and Ordinal Classification. GfKl Klaus Hechenbichler, Gerhard Tutz
2004	—	`conf`	Exploring Multivariate Data Structures with Local Principal Curves. GfKl Jochen Einbeck, Gerhard Tutz, Ludger Evers
2004	J	`jnl`	Generalized semiparametrically structured mixed models. Comput. Stat. Data Anal. Gerhard Tutz
2003	J	`jnl`	A CART-based approach to discover emerging patterns in microarray data. Bioinform. Anne-Laure Boulesteix, Gerhard Tutz, Korbinian Strimmer
2003	J	`jnl`	Generalized linear random effects models with varying coefficients. Comput. Stat. Data Anal. Gerhard Tutz, Göran Kauermann
1995	J	`jnl`	Discrete kernels, loss functions and parametric models in discrete discrimination: A comparative study. Math. Methods Oper. Res. Gerhard Tutz, Herbert Groß
1990	J	`jnl`	Alternative parameterizations in business tendency surveys. ZOR Methods Model. Oper. Res. Bernd Morawitz, Gerhard Tutz
1990	J	`jnl`	Log-linear parameterizations in discriminant analysis. ZOR Methods Model. Oper. Res. Gerhard Tutz