Bayesian Gamma Regression
Bayesian Gamma Regression is a Bayesian generalized linear model that specifies the gamma distribution as the response distribution and uses Bayesian inference for parameter estimation, distinguishing it by incorporating prior distributions over the regression coefficients and modeling positive, continuous, right-skewed outcomes through a log-link function.
6
Publications
160
Citations
28
Authors
21
Institutions
Publications per year
2017–2026
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6
1–5 of 6
28
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21
Novartis (Switzerland)
Basel, Switzerland
1 h-index
1 publications
28 citations

Universidad de Cantabria
Santander, Spain
1 h-index
3 publications
78 citations

Harbin Institute of Technology
Harbin, China
1 h-index
1 publications
35 citations

Vanderbilt University
Nashville, United States
1 h-index
1 publications
28 citations

University of Waterloo
Waterloo, Canada
1 h-index
2 publications
72 citations

University of Massachusetts Amherst
Amherst Center, United States
1 h-index
2 publications
22 citations
Royal Zoological Society of Antwerp
Antwerp, Belgium
1 h-index
2 publications
48 citations
Ludwig-Maximilians-Universität München
Munich, Germany
1 h-index
1 publications
24 citations
1–8 of 21
2 publications · 35 citations
2
h-index
1 publications · 26 citations
1
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1 publications · 35 citations
1
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1 publications · 28 citations
1
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1 publications · 36 citations
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