7 citations · 15 across the 11 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
stat.ME2023★ 2 cited
Deep mixture of linear mixed models for complex longitudinal data
Lucas Kock, Nadja Klein, David J. Nott
Mixtures of linear mixed models are widely used for modelling longitudinal data for which observation times differ between subjects. In typical applications, temporal trends are de…
stat.ME2023★ 7 cited
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…
stat.ML2023
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…