Weighted Model Averaging
Weighted Model Averaging is a Bayesian inference technique that belongs to the class of model averaging methods, distinguished by its use of posterior model probabilities as weights to combine predictions or estimates from multiple candidate models in proportion to their relative evidential support.
43
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4.5K
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121
Authors
82
Institutions
Publications per year
2017–2026
11
Variants
Wma
Parents
43
Anastassis Perrakis, Titia K. Sixma, Keith S. Wilson et al. · Acta Crystallographica Section D Biological Crystallography · 1997 · 447 citations
Natural Sciences, Chemistry, Physics +17
J. M. Line, Cajo J. F. ter Braak, H. J. B. Birks · Journal of Paleolimnology · 1994 · 241 citations
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University of Bergen
Bergen, Norway
5 h-index
5 publications
1.7K citations
Queen's University
Kingston, Canada
3 h-index
7 publications
544 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
4 publications
2.5K citations
Bedford College
Bedford, United Kingdom
2 h-index
3 publications
2.5K citations

Oak Ridge National Laboratory
Oak Ridge, United States
2 h-index
7 publications
283 citations
University College London
London, United Kingdom
2 h-index
3 publications
659 citations
University of California San Diego
San Diego, United States
2 h-index
3 publications
83 citations
Queen Mary University of London
London, United Kingdom
2 h-index
3 publications
192 citations
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5 publications · 571 citations
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2 publications · 397 citations
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1 publications · 209 citations
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