2 citations · 3 across the 5 of their papers we have counts for
8 papers · 1 filter
Non Proportional Odds Models are Widely Dispensable -- Sparser Modeling based on Parametric and Additive Location-Shift Approaches
Gerhard Tutz, Moritz Berger
The potential of location-shift models to find adequate models between the proportional odds model and the non-proportional odds model is investigated. It is demonstrated that thes…
Transition Models for Count Data: a Flexible Alternative to Fixed Distribution Models
Moritz Berger, Gerhard Tutz
A flexible semiparametric class of models is introduced that offers an alternative to classical regression models for count data as the Poisson and negative binomial model, as well…
Assessing the Calibration of Subdistribution Hazard Models in Discrete Time
Moritz Berger, Matthias Schmid
The generalization performance of a risk prediction model can be evaluated by its calibration, which measures the agreement between predicted and observed outcomes on external vali…
Tree-Structured Scale Effects in Binary and Ordinal Regression
Gerhard Tutz, Moritz Berger
In binary and ordinal regression one can distinguish between a location component and a scaling component. While the former determines the location within the range of the response…
A Random Forest Approach for Modeling Bounded Outcomes
Leonie Weinhold, Matthias Schmid, Marvin N. Wright +1
Random forests have become an established tool for classification and regression, in particular in high-dimensional settings and in the presence of complex predictor-response relat…
Tree-Structured Modelling of Varying Coefficients
Moritz Berger, Gerhard Tutz, Matthias Schmid
The varying-coefficient model is a strong tool for the modelling of interactions in generalized regression. It is easy to apply if both the variables that are modified as well as t…