Gerhard Tutz

According to our database1, Gerhard Tutz authored at least 36 papers between 1990 and 2019.

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

Timeline

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PhD thesis 
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Bibliography

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

Tree-structured modelling of varying coefficients.
Statistics and Computing, 2019

2018
Tree-structured modelling of categorical predictors in generalized additive regression.
Adv. Data Analysis and Classification, 2018

2017
Mixture models for ordinal responses to account for uncertainty of choice.
Adv. Data Analysis and Classification, 2017

A uniform framework for the combination of penalties in generalized structured models.
Adv. Data Analysis and Classification, 2017

2016
Improved nearest neighbor classifiers by weighting and selection of predictors.
Statistics and Computing, 2016

Additive mixed models with approximate Dirichlet process mixtures: the EM approach.
Statistics and Computing, 2016

Comparison of Maximum Likelihood with Conditional Pairwise Likelihood Estimation of Person Parameters in the Rasch Model.
Communications in Statistics - Simulation and Computation, 2016

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

2015
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

2014
Variable selection for generalized linear mixed models by L 1-penalized estimation.
Statistics and Computing, 2014

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

Multinomial logit models with implicit variable selection.
Adv. Data Analysis and Classification, 2013

2012
Nonparametric estimation of the link function including variable selection.
Statistics and Computing, 2012

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

2010
Guest Editorial: Regularisation Methods in Regression and Classification.
Statistics and Computing, 2010

2009
Penalized regression with correlation-based penalty.
Statistics and Computing, 2009

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

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

2008
A comparison of methods for the fitting of generalized additive models.
Statistics and Computing, 2008

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

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

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

2005
Localized classification.
Statistics and Computing, 2005

Local principal curves.
Statistics and Computing, 2005

2004
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

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

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

1995
Discrete kernels, loss functions and parametric models in discrete discrimination: A comparative study.
Math. Meth. of OR, 1995

1990
Log-linear parameterizations in discriminant analysis.
ZOR - Meth. & Mod. of OR, 1990

Alternative parameterizations in business tendency surveys.
ZOR - Meth. & Mod. of OR, 1990


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