Bayesian Distribution Modeling
Bayesian Distribution Modeling is a probabilistic framework that integrates prior knowledge with observed data through Bayes' theorem to infer posterior distributions over model parameters, distinguishing itself from frequentist approaches by treating parameters as random variables and emphasizing uncertainty quantification in statistical inference.
40
Publications
3.6K
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109
Authors
63
Institutions
Publications per year
2017–2026
20
Parents
40
Smart particle filtering for 3D hand tracking
M. Bray, Esther Koller-Meier, Luc Van Gool · 2004 · 115 citations
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63
University College Dublin
Dublin, Ireland
2 h-index
8 publications
236 citations
UK Centre for Ecology & Hydrology
Wallingford, United Kingdom
2 h-index
3 publications
282 citations
University of Oxford
Oxford, United Kingdom
2 h-index
4 publications
184 citations

Lovely Professional University
Phagwāra, India
2 h-index
3 publications
38 citations
La Roche College
Pittsburgh, United States
1 h-index
1 publications
53 citations
Centro Oceanográfico de Murcia
San Pedro del Pinatar, Spain
1 h-index
2 publications
34 citations

University of Mazandaran
Bābolsar, Iran
1 h-index
1 publications
22 citations
Singapore Science Park
Singapore, Singapore
1 h-index
2 publications
24 citations
1–8 of 63
3 publications · 156 citations
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2 publications · 25 citations
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2 publications · 2.2K citations
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1 publications · 17 citations
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1 publications · 33 citations
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