Hierarchical Bayesian Estimation
Hierarchical Bayesian Estimation is a statistical inference method that belongs to the class of Bayesian estimation techniques, distinguished by its use of multiple levels of prior distributions to model parameters and their dependencies across groups or layers of data.
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Leandra Abarca-Gómez, Ziad Abdeen, Zargar Abdul Hamid et al. · The Lancet · 2017 · 7.6K citations · Full text
Bin Zhou, Rodrigo M. Carrillo‐Larco, Goodarz Danaei et al. · The Lancet · 2021 · 3.7K citations · Full text
Medicine, Chronic Disease Control, Clinical Epidemiology +16
Nowell H Phelps, Rosie Singleton, Bin Zhou et al. · The Lancet · 2024 · 2K citations · Full text
Multilevel linear modelling for FMRI group analysis using Bayesian inference
Mark W. Woolrich, Timothy E.J. Behrens, Christian F. Beckmann et al. · NeuroImage · 2004 · 1.8K citations
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Imperial College London
London, United Kingdom
32 h-index
245 publications
317.4K citations
Harvard University
Cambridge, United States
26 h-index
71 publications
21.1K citations
University of Washington
Seattle, United States
24 h-index
49 publications
4.3K citations
Columbia University
New York, United States
23 h-index
48 publications
4.6K citations

Centre National de la Recherche Scientifique
Paris, France
22 h-index
55 publications
3.3K citations
University of Oxford
Oxford, United Kingdom
21 h-index
68 publications
15.8K citations

University of Minnesota
Minneapolis, United States
20 h-index
72 publications
3.8K citations
University of Cambridge
Cambridge, United Kingdom
19 h-index
37 publications
2.3K citations
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19 publications · 834 citations
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