Bayesian Small Area Estimation
Bayesian Small Area Estimation is a statistical methodology within small area estimation that incorporates Bayesian inference to combine sample survey data with prior information or hierarchical models, thereby improving the precision of estimates for small domains through the explicit modeling of uncertainty and random effects.
82
Publications
4.7K
Citations
166
Authors
97
Institutions
Publications per year
2017–2026
17
Parents
82
Small Area Estimation: An Appraisal
Malay Ghosh, J. N. K. Rao · Statistical Science · 1994 · 741 citations · Full text
New Important Developments in Small Area Estimation
Danny Pfeffermann · Statistical Science · 2013 · 420 citations · Full text
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University of Georgia
Athens, United States
8 h-index
13 publications
692 citations
University of Florida
Gainesville, United States
7 h-index
10 publications
691 citations

Carleton University
Ottawa, Canada
6 h-index
7 publications
316 citations
University of Nebraska–Lincoln
Lincoln, United States
6 h-index
8 publications
521 citations

Worcester Polytechnic Institute
Worcester, United States
5 h-index
6 publications
78 citations

Centers for Disease Control and Prevention
Atlanta, United States
4 h-index
14 publications
842 citations

Sapienza University of Rome
Rome, Italy
4 h-index
7 publications
254 citations
United States Census Bureau
Suitland, United States
4 h-index
10 publications
492 citations
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12 publications · 789 citations
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5 publications · 1.3K citations
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5 publications · 253 citations
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4 publications · 99 citations
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JOS · 4 publications · 64 citations
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