Noninformative Priors is a type of prior distribution in Bayesian inference that is designed to have minimal influence on the posterior distribution, thereby allowing the data to dominate the inference process while adhering to the principle of representing vague or objective prior knowledge.
224
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18.1K
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454
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297
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Publications per year
2017–2026
41
Variants
Diffuse PriorsVague Priors
Publications
224
Prior distributions for variance parameters in hierarchical models
Andrew Gelman · Econstor (Econstor) · 2004 · 1.6K citations · Full text
1–5 of 224
Authors
454
- JO
11
h-index
- DS
7
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- MG
6
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- GS
5
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- LR
4
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1–5 of 454
Institutions
297
Purdue University West Lafayette
West Lafayette, United States
10 h-index
11 publications
2K citations
University of Minnesota
Minneapolis, United States
8 h-index
15 publications
476 citations
University of Missouri
Columbia, United States
7 h-index
12 publications
469 citations
University of Florida
Gainesville, United States
6 h-index
7 publications
449 citations
University of Toronto
Toronto, Canada
5 h-index
7 publications
719 citations
Imperial College London
London, United Kingdom
5 h-index
8 publications
731 citations
University of Georgia
Athens, United States
5 h-index
5 publications
549 citations
University of Wisconsin–Madison
Madison, United States
5 h-index
6 publications
240 citations
1–8 of 297
Venues
- Journal of the American Statistical Association
22 publications · 5.4K citations
18
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- Biometrika
8 publications · 840 citations
8
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- Communication in Statistics- Theory and Methods
8 publications · 170 citations
8
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- Biometrics
7 publications · 500 citations
7
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- IEEE Transactions on Reliability
7 publications · 311 citations
7
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