138 citations · 157 across the 5 of their papers we have counts for
5 papers
"Spatial Joint Models through Bayesian Structured Piece-wise Additive Joint Modelling for Longitudinal and Time-to-Event Data"
Anja Rappl, Thomas Kneib, Stefan Lang +1
Joint models for longitudinal and time-to-event data have seen many developments in recent years. Though spatial joint models are still rare and the traditional proportional hazard…
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…
Bayesian Effect Selection in Structured Additive Distributional Regression Models
Nadja Klein, Manuel Carlan, Thomas Kneib +2
We propose a novel spike and slab prior specification with scaled beta prime marginals for the importance parameters of regression coefficients to allow for general effect selectio…
Bayesian Measurement Error Correction in Structured Additive Distributional Regression with an Application to the Analysis of Sensor Data on Soil-Plant Variability
Alessio Pollice, Giovanna Jona Lasinio, Roberta Rossi +3
The flexibility of the Bayesian approach to account for covariates with measurement error is combined with semiparametric regression models for a class of continuous, discrete and…
Bayesian structured additive distributional regression with an application to regional income inequality in Germany
Nadja Klein, Thomas Kneib, Stefan Lang +1
We propose a generic Bayesian framework for inference in distributional regression models in which each parameter of a potentially complex response distribution and not only the me…