Bayesian Consistency Models
Bayesian Consistency Models is a statistical framework within Bayesian meta-analysis that formalizes the assumption that effect sizes across studies are consistent with a common underlying distribution, incorporating prior information to quantify and propagate uncertainty while ensuring coherence between observed data and posterior inferences.
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68
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42
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2017–2026
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Corinna Kiefer, Sibylle Sturtz, Ralf Bender · BMC Medical Research Methodology · 2020 · 36 citations · Full text
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University of York
York, United Kingdom
4 h-index
8 publications
1.8K citations
University of Oxford
Oxford, United Kingdom
2 h-index
2 publications
46 citations

Sun Yat-sen University
Guangzhou, China
1 h-index
15 publications
270 citations

Perimeter Institute
Waterloo, Canada
1 h-index
2 publications
42 citations

Old Dominion University
Norfolk, United States
1 h-index
1 publications
14 citations
Tsinghua University
Beijing, China
1 h-index
1 publications
18 citations
MRC Biostatistics Unit
Cambridge, United Kingdom
1 h-index
4 publications
4.5K citations
Toulouse School of Economics
Toulouse, France
1 h-index
1 publications
10 citations
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1 publications · 21 citations
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ApJ · 1 publications · 12 citations
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1 publications · 23 citations
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JMASM · 1 publications · 14 citations
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1 publications · 15 citations
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