54 citations · 225 across the 24 of their papers we have counts for
4 papers · 1 filter
Mixture of Experts Distributional Regression: Implementation Using Robust Estimation with Adaptive First-order Methods
David Rügamer, Florian Pfisterer, Bernd Bischl +1
In this work, we propose an efficient implementation of mixtures of experts distributional regression models which exploits robust estimation by using stochastic first-order optimi…
Neural Mixture Distributional Regression
David Rügamer, Florian Pfisterer, Bernd Bischl
We present neural mixture distributional regression (NMDR), a holistic framework to estimate complex finite mixtures of distributional regressions defined by flexible additive pred…
Conditional Model Selection in Mixed-Effects Models with cAIC4
Benjamin Säfken, David Rügamer, Thomas Kneib +1
Model selection in mixed models based on the conditional distribution is appropriate for many practical applications and has been a focus of recent statistical research. In this pa…
Boosting Functional Regression Models with FDboost
Sarah Brockhaus, David Rügamer, Sonja Greven
The R add-on package FDboost is a flexible toolbox for the estimation of functional regression models by model-based boosting. It provides the possibility to fit regression models…