Bayesian Model Uncertainty
Bayesian Model Uncertainty is a formal framework within Bayesian econometrics that characterizes the uncertainty surrounding model specification by treating competing models as hypotheses with associated posterior probabilities, thereby distinguishing it from parameter uncertainty through its focus on model space variability.
840
Publications
81.4K
Citations
2.2K
Authors
949
Institutions
Publications per year
2017–2026
300
Parents
840
Bayesian Model Selection in Social Research
Adrian E. Raftery · Sociological Methodology · 1995 · 6.9K citations
Computing, Biostatistics, Sociology +17
Bayesian Model Averaging for Linear Regression Models
1997 · 1.8K citations
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2.2K
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University of Washington
Seattle, United States
24 h-index
49 publications
16.3K citations
University of Cambridge
Cambridge, United Kingdom
19 h-index
38 publications
18.9K citations
Duke University
Durham, United States
18 h-index
51 publications
5.7K citations

International Monetary Fund
Washington D.C., United States
14 h-index
24 publications
2.2K citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
28 publications
1.2K citations
Texas A&M University
College Station, United States
13 h-index
36 publications
2.5K citations
The Ohio State University
Columbus, United States
12 h-index
26 publications
2.2K citations
University of Maryland, College Park
College Park, United States
11 h-index
18 publications
724 citations
1–8 of 949
Repository · 34 publications · 9.2K citations
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25 publications · 3.4K citations
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Repository · 27 publications · 1.3K citations
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14 publications · 600 citations
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11 publications · 689 citations
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