Reference Priors is a type of prior distribution in Bayesian statistics that belongs to the class of objective priors and is specifically derived to maximize the influence of the data on the posterior distribution, typically by maximizing the expected Kullback-Leibler divergence between the prior and posterior.
96
Publications
8.4K
Citations
142
Authors
106
Institutions
Publications per year
2017–2026
17
Publications
96
The Prior Can Often Only Be Understood in the Context of the Likelihood
1–5 of 96
Authors
142
- DS
10
h-index
- JO
8
h-index
- JM
7
h-index
- KY
5
h-index
- MG
5
h-index
1–5 of 142
Institutions
106
University of Missouri
Columbia, United States
9 h-index
12 publications
1.7K citations
East China Normal University
Shanghai, China
7 h-index
9 publications
192 citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
12 publications
4.2K citations
University of Florida
Gainesville, United States
6 h-index
7 publications
391 citations
Purdue University West Lafayette
West Lafayette, United States
5 h-index
6 publications
763 citations
University of Toronto
Toronto, Canada
4 h-index
4 publications
1.2K citations
Universitat de València
Valencia, Spain
4 h-index
4 publications
1.5K citations
Virginia Tech
Blacksburg, United States
4 h-index
4 publications
99 citations
1–8 of 106
Venues
- Journal of the American Statistical Association
17 publications · 3K citations
15
h-index
- Biometrika
9 publications · 801 citations
9
h-index
- Communication in Statistics- Theory and Methods
7 publications · 114 citations
7
h-index
- Bayesian Analysis
6 publications · 232 citations
6
h-index
- The Annals of Statistics
6 publications · 968 citations
6
h-index
1–5