Bayesian Production Models
Bayesian Production Models is a formal framework in production theory that integrates Bayesian inference to dynamically update production parameter estimates and decision-making under uncertainty, distinguishing itself from classical production models through its probabilistic learning mechanism and incorporation of prior knowledge.
85
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3.7K
Citations
216
Authors
117
Institutions
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2017–2026
22
Parents
85
M.K. McAllister, Ellen K. Pikitch, Elizabeth A. Babcock · Canadian Journal of Fisheries and Aquatic Sciences · 2001 · 144 citations
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NOAA National Marine Fisheries Service Pacific Islands Fisheries Science Center, United States
2 publications · 48 citations
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117

University of Helsinki
Helsinki, Finland
3 h-index
3 publications
86 citations
University of Copenhagen
Copenhagen, Denmark
3 h-index
3 publications
96 citations

University of St Andrews
St Andrews, United Kingdom
2 h-index
4 publications
380 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
298 citations

Oklahoma State University
Stillwater, United States
2 h-index
4 publications
88 citations
Virginia Tech
Blacksburg, United States
2 h-index
7 publications
193 citations
NOAA National Marine Fisheries Service
Silver Spring, United States
2 h-index
6 publications
159 citations

University of New England
Armidale, Australia
2 h-index
4 publications
224 citations
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4 publications · 245 citations
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3 publications · 289 citations
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3 publications · 114 citations
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JAE · 3 publications · 108 citations
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Repository · 3 publications · 55 citations
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