activity
20152026
most citedNon Proportional Odds Models are Widely Dispensable -- Sparser Modeling based on Parametric and Additive Location-Shift Approaches

2 citations · 4 across the 11 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

stat.ME2019

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…

stat.ME2019★ 1 cited

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…