11 citations · 24 across the 7 of their papers we have counts for
8 papers
Factor-augmented Bayesian treatment effects models for panel outcomes
Helga Wagner, Sylvia Frühwirth-Schnatter, Liana Jacobi
We propose a new, flexible model for inference of the effect of a binary treatment on a continuous outcome observed over subsequent time periods. The model allows to seperate assoc…
Efficient Bayesian Modeling of Binary and Categorical Data in R: The UPG Package
Gregor Zens, Sylvia Frühwirth-Schnatter, Helga Wagner
In this vignette, we introduce the UPG package for efficient Bayesian inference in probit, logit, multinomial logit and binomial logit models. UPG offers a convenient estimation fr…
Ultimate Pólya Gamma Samplers -- Efficient MCMC for possibly imbalanced binary and categorical data
Gregor Zens, Sylvia Frühwirth-Schnatter, Helga Wagner
Modeling binary and categorical data is one of the most commonly encountered tasks of applied statisticians and econometricians. While Bayesian methods in this context have been av…
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…
Comparing Spike and Slab Priors for Bayesian Variable Selection
Gertraud Malsiner-Walli, Helga Wagner
An important task in building regression models is to decide which regressors should be included in the final model. In a Bayesian approach, variable selection can be performed usi…
Effect fusion using model-based clustering
Gertraud Malsiner-Walli, Daniela Pauger, Helga Wagner
In social and economic studies many of the collected variables are measured on a nominal scale, often with a large number of categories. The definition of categories is usually not…
Bayesian Effect Fusion for Categorical Predictors
Daniela Pauger, Helga Wagner
In this paper, we propose a Bayesian approach to obtain a sparse representation of the effect of a categorical predictor in regression type models. As the effect of a categorical p…
Likelihood-free Simulation-based Optimal Design
Markus Hainy, Werner G. Müller, Helga Wagner
Simulation-based optimal design techniques are a convenient tool for solving a particular class of optimal design problems. The goal is to find the optimal configuration of factor…