Model Averaged Regression
Model Averaged Regression is a Bayesian regression framework that distinguishes itself by integrating parameter estimates across multiple models, weighted by their posterior probabilities, to produce a single predictive distribution that accounts for model uncertainty.
36
Publications
3.4K
Citations
112
Authors
85
Institutions
Publications per year
2017–2026
14
Parents
36
Bruce E. Hansen · Econometrica · 2007 · 843 citations
Model averaging and muddled multimodel inferences
Brian S. Cade · Ecology · 2015 · 626 citations
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85
University of California, Los Angeles
Los Angeles, United States
2 h-index
2 publications
226 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
9 publications
931 citations
Academia Sinica
Taipei, Taiwan
2 h-index
2 publications
104 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
82 citations
Academy of Mathematics and Systems Science
Beijing, China
2 h-index
2 publications
32 citations

Qingdao University
Qingdao, China
1 h-index
1 publications
61 citations
University of Chicago
Chicago, United States
1 h-index
1 publications
31 citations

University of Edinburgh
Edinburgh, United Kingdom
1 h-index
1 publications
11 citations
1–8 of 85
Repository · 2 publications · 22 citations
2
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2 publications · 82 citations
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JBES · 2 publications · 48 citations
2
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2 publications · 58 citations
2
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1 publications · 119 citations
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