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Uniform, uninformed or misinformed?: The lingering challenge of minimally informative priors in data-limited Bayesian stock assessments

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作者： Thorson, James T. ^[1] ; Cope, Jason M. ^[1]

作者单位： NOAA, Fisheries Resource Assessment & Monitoring Div, Northwest Fisheries Sci Ctr, Natl Marine Fisheries Serv, Seattle, WA 98115 USA ^[1]

关键词 Bayesian Maximum likelihood Stock assessment Data-limited model Age-structured surplus production model Stock synthesis

发布时间 2017-12-24

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Theoretical Population Biology

2017年115卷

164-172页

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Theoretical Population Biology

2017年115卷

164-172页

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Uniform, uninformed or misinformed?: The lingering challenge of minimally informative priors in data-limited Bayesian stock assessments

Theoretical Population Biology

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Theoretical Population Biology

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Uniform, uninformed or misinformed?: The lingering challenge of minimally informative priors in data-limited Bayesian stock assessments

Theoretical Population Biology

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Theoretical Population Biology

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