2 citations · 3 across the 3 of their papers we have counts for
3 papers
Generalized Multivariate Functional Additive Mixed Models for Location, Scale, and Shape
Alexander Volkmann, Nikolaus Umlauf, Sonja Greven
We propose a flexible regression framework to model the conditional distribution of multilevel generalized multivariate functional data of potentially mixed type, e.g. binary and c…
Scalable Estimation for Structured Additive Distributional Regression
Nikolaus Umlauf, Johannes Seiler, Mattias Wetscher +3
Recently, fitting probabilistic models have gained importance in many areas but estimation of such distributional models with very large data sets is a difficult task. In particula…
Flexible Bayesian additive joint models with an application to type 1 diabetes research
Meike Köhler, Nikolaus Umlauf, Andreas Beyerlein +3
The joint modeling of longitudinal and time-to-event data is an important tool of growing popularity to gain insights into the association between a biomarker and an event process.…