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H. Wagner

4 papers hereh-index 161k citations40 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME4
same name
  • H. Wagner — 3 papers, h 6
  • H. Wagner — 3 papers, h 3
  • H. Wagner — 2 papers, h 7
  • H. Wagner — 1 paper, h 8
  • H. Wagner — 1 paper, h 6
  • H. Wagner — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedComparing Spike and Slab Priors for Bayesian Variable Selection

2 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

stat.ME2021

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…

stat.ME2019

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…

stat.ME2018★ 2 cited

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…

stat.ME2017

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…

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