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Bayesian spatio-temporal hierarchical modeling: Bycatch in the Barents Sea shrim...
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Bayesian hierarchical modelling of North Atlantic windiness
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Latent Gaussian models to decide on spatial closures for bycatch management in t...
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Latent Gaussian models to decide on spatial closures for bycatch management in t...
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Prediction–variance relation in a state-space fish stock assessment model
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Prediction–variance relation in a state-space fish stock assessment model
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Latent gaussian models to decide on spatial closures for bycatch management in t...
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Latent gaussian models to decide on spatial closures for bycatch management in t...
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Latent Gaussian models to predict historical bycatch in commercial fishery
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Latent Gaussian models to predict historical bycatch in commercial fishery
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Detecting significant retrospective patterns in state space fish stock assessmen...
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Detecting significant retrospective patterns in state space fish stock assessmen...
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Detecting significant retrospective patterns in state space fish stock assessmen...
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Detecting significant retrospective patterns in state space fish stock assessmen...
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Evaluation of sampling strategies for age determination of cod (Gadus morhua) sa...
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Predicting abundance indices in areas without coverage with a latent spatio-temp...
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Benchmark workshop for Barents Sea and Faroese stocks (WKBARFAR 2021)
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Benchmark Workshop for Demersal Species (WKDEM)
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Arctic Fisheries Working Group (AFWG; outputs from 2022 meeting) : Version 2: co...
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Arctic Fisheries Working Group (AFWG; outputs from 2022 meeting)
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Related Subjects
Text
Aquatic Science
Ecology, Evolution, Behavior and Systematics
SAM
VDP::Ressursbiologi: 921
ddc:570
Ecology
Mean-variance relationship
Mohn's p
Observation variance
Oceanography
Post-sample evaluation
VDP::Resource biology: 921
Validation
ddc:630
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