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Publications Influence

An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests.

Recursive partitioning methods have become popular and widely used tools for nonparametric regression and classification in many scientific fields. Especially random forests, which can deal with… Expand

1,482 102- PDF

Multivariate statistical modelling based on generalized linear models

- L. Fahrmeir, G. Tutz
- Mathematics
- 1 May 1994

Introduction * Modelling and Analysis of Cross-sectional Data: A Review of Univariate Generalized Linear Models * Models for Multicategorical Responses: Multivariate Extensions of Generalized Linear… Expand

917 46- PDF

Generalized additive modeling with implicit variable selection by likelihood-based boosting.

The use of generalized additive models in statistical data analysis suffers from the restriction to few explanatory variables and the problems of selection of smoothing parameters. Generalized… Expand

160 15- PDF

Variable selection for generalized linear mixed models by L1-penalized estimation

TLDR

112 14- PDF

Sequential item response models with an ordered response

- G. Tutz
- Mathematics
- 1 May 1990

A stepwise approach to the construction of latent trait models is outlined. As a special case of the derived general sequential model, a sequential Rasch model is considered. The derivation of the… Expand

174 12

Regression for Categorical Data

- G. Tutz
- Mathematics
- 21 November 2011

1. Introduction 2. Binary regression: the logit model 3. Generalized linear models 4. Modeling of binary data 5. Alternative binary regression models 6. Regularization and variable selection for… Expand

132 12

Dynamic Stochastic Models for Time-Dependent Ordered Paired Comparison Systems

- L. Fahrmeir, G. Tutz
- Mathematics
- 1 December 1994

Abstract When paired comparisons are made sequentially over time as for example in chess competitions, it is natural to assume that the underlying abilities do change with time. Previous approaches… Expand

78 10

Penalized Regression with Ordinal Predictors

- J. Gertheiss, G. Tutz
- Mathematics
- 1 December 2009

Ordered categorial predictors are a common case in regression modelling. In contrast to the case of ordinal response variables, ordinal predictors have been largely neglected in the literature. In… Expand

55 9- PDF

Modeling Discrete Time-To-Event Data

TLDR

40 9

Local principal curves

- J. Einbeck, G. Tutz, L. Evers
- Mathematics, Computer Science
- Stat. Comput.
- 1 October 2005

TLDR

81 8- PDF