376 citations · 673 across the 11 of their papers we have counts for
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stat.ME2017
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…
stat.AP2017
Semiparametric Regression for Discrete Time-to-Event Data
Moritz Berger, Matthias Schmid
Time-to-event models are a popular tool to analyse data where the outcome variable is the time to the occurrence of a specific event of interest. Here we focus on the analysis of t…
math.ST2017
Clustering with Statistical Error Control
Michael Vogt, Matthias Schmid
This paper presents a clustering approach that allows for rigorous statistical error control similar to a statistical test. We develop estimators for both the unknown number of clu…