Predictive Model Averaging
Predictive Model Averaging is a Bayesian model averaging technique that belongs to the class of ensemble prediction methods, distinguished by its formal integration of posterior model probabilities to weight predictions across a set of candidate models, thereby accounting for model uncertainty in inferential and predictive tasks.
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2.4K
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88
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72
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2017–2026
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Model averaging prediction by K-fold cross-validation
Xinyu Zhang, Chu-An Liu · Journal of Econometrics · 2022 · 263 citations
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Chinese Academy of Sciences
Beijing, China
5 h-index
9 publications
539 citations
Academy of Mathematics and Systems Science
Beijing, China
4 h-index
7 publications
459 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
163 citations
Institute of Economics, Academia Sinica
Taipei, Taiwan
2 h-index
2 publications
300 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
7 publications
153 citations

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
3 publications
90 citations
Duke-NUS Medical School
Singapore, Singapore
2 h-index
2 publications
85 citations
Laboratoire de Dynamique des Fluides
Paris, France
2 h-index
5 publications
278 citations
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4 publications · 374 citations
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3 publications · 149 citations
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Repository · 3 publications · 87 citations
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2 publications · 75 citations
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2 publications · 516 citations
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