Model Averaged Estimation
Model Averaged Estimation is a statistical inference method that belongs to the class of model averaging techniques, distinguished by its computation of parameter estimates as a weighted average over multiple candidate models, where the weights are typically derived from posterior model probabilities or information-theoretic criteria.
86
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9.9K
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225
Authors
129
Institutions
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2017–2026
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Bruce E. Hansen · Econometrica · 2007 · 843 citations
Model averaging and muddled multimodel inferences
Brian S. Cade · Ecology · 2015 · 626 citations
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices
Yang Zhao, Jun Zhao, Linshan Jiang et al. · IEEE Internet of Things Journal · 2020 · 569 citations
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Chinese Academy of Sciences
Beijing, China
14 h-index
24 publications
1.3K citations
Academy of Mathematics and Systems Science
Beijing, China
11 h-index
17 publications
931 citations

City University of Hong Kong
Hong Kong, Hong Kong
6 h-index
10 publications
1.2K citations
Yunnan University of Finance And Economics
Kunming, China
5 h-index
5 publications
829 citations

Capital Normal University
Beijing, China
5 h-index
5 publications
184 citations
University of Chinese Academy of Sciences
Beijing, China
4 h-index
4 publications
131 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
11 publications
999 citations
Texas A&M University
College Station, United States
3 h-index
3 publications
91 citations
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5 publications · 1.3K citations
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4 publications · 155 citations
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CSDA · 4 publications · 214 citations
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Repository · 3 publications · 59 citations
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3 publications · 138 citations
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