Discussion: Bayesian regularization and effect fusion for categorical predictors

Helga Wagner, Daniela Pauger

Department of Data Analysis and Econometrics

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	220-227
Number of pages	8
Journal	Statistical Modelling
Volume	16
Issue number	3
DOIs	https://doi.org/10.1177/1471082X16642655
Publication status	Published - 2016

Fields of science

101018 Statistics
101026 Time series analysis
502025 Econometrics
509 Other Social Sciences

JKU Focus areas

Computation in Informatics and Mathematics
Social and Economic Sciences (in general)

Access to Document

10.1177/1471082X16642655

Other files and links

Homepage des IFAS

1 Finished
3 Active

Model selection
Duller, C. (Researcher) & Wagner, H. (PI)
01.01.2012 → 31.12.2025
Project: Other › Project from scientific scope of research unit
Bayesian statistics and MCMC methods
Hainy, M. (Researcher) & Wagner, H. (PI)
01.01.2012 → 31.12.2025
Project: Other › Project from scientific scope of research unit
Categorical data analysis
Duller, C. (Researcher) & Wagner, H. (PI)
01.01.2012 → 31.12.2025
Project: Other › Project from scientific scope of research unit

Cite this

@article{e44ca8e6a96a4b2795e4a22e97889358,

title = "Discussion: Bayesian regularization and effect fusion for categorical predictors",

author = "Helga Wagner and Daniela Pauger",

year = "2016",

doi = "10.1177/1471082X16642655",

language = "English",

volume = "16",

pages = "220--227",

journal = "Statistical Modelling",

issn = "1477-0342",

number = "3",

}