Bayesian Nonparametric Meta-Analysis is a meta-analytic framework that belongs to the class of Bayesian meta-analysis methods and is distinguished by its use of nonparametric Bayesian models to flexibly infer the distribution of effect sizes without assuming a fixed parametric form.
6
Publications
495
Citations
13
Authors
14
Institutions
Publications per year
2017–2026
1
Parents
Publications
6
1–5 of 6
Authors
13
- IH
1
h-index
- FE
1
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- JM
1
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- TH
1
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- YY
1
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1–5 of 13
Institutions
14
California University of Pennsylvania
California, United States
1 h-index
3 publications
489 citations
Université Paris Sciences et Lettres
Paris, France
1 h-index
1 publications
240 citations
AT&T (United States)
Bedminster, United States
1 h-index
1 publications
29 citations
Université Paris Dauphine-PSL
Paris, France
1 h-index
1 publications
240 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
3 publications
489 citations
Centre National de la Recherche Scientifique
Paris, France
1 h-index
1 publications
240 citations
University of Minnesota
Minneapolis, United States
1 h-index
1 publications
36 citations
University of California, Irvine
Irvine, United States
1 h-index
1 publications
13 citations
1–8 of 14
Venues
- Biometrics
1 publications · 36 citations
1
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- Neurology
1 publications · 163 citations
1
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- The Annals of Applied Statistics
AOAS · 1 publications · 29 citations
1
h-index
- Journal of Statistical Software
JSS · 1 publications · 14 citations
1
h-index
- Journal of Memory and Language
1 publications · 240 citations
1
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1–5