138 citations · 302 across the 32 of their papers we have counts for
4 papers · 1 filter
Truly Multivariate Structured Additive Distributional Regression
Lucas Kock, Nadja Klein
Generalized additive models for location, scale and shape (GAMLSS) are a popular extension to mean regression models where each parameter of an arbitrary distribution is modelled t…
The Deep Promotion Time Cure Model
Victor Medina-Olivares, Stefan Lessmann, Nadja Klein
We propose a novel method for predicting time-to-event in the presence of cure fractions based on flexible survivals models integrated into a deep neural network framework. Our app…
Dropout Regularization in Extended Generalized Linear Models based on Double Exponential Families
Benedikt Lütke Schwienhorst, Lucas Kock, Nadja Klein +1
Even though dropout is a popular regularization technique, its theoretical properties are not fully understood. In this paper we study dropout regularization in extended generalize…
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…