A multiyear hierarchical Bayesian mark-recapture model incorporating data on recurring salmonid behavior to account for sparse or missing data Article Swipe

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Bryce N. Oldemeyer , Timothy Copeland , Brian P. Kennedy ·

YOU? · · 2018 · Open Access · · DOI: https://doi.org/10.7755/fb.116.3.4

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Fishery

Computer Science

Environmental Science

Artificial Intelligence

Machine Learning

Biology

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Mark and recapture Bayesian probability Fishery Missing data Computer science Bayesian inference Environmental science Artificial intelligence Machine learning Biology Demography Sociology Population

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Type: article
Language: en
Landing Page: https://doi.org/10.7755/fb.116.3.4
PDF: https://spo.nmfs.noaa.gov/sites/default/files/pdf-content/fish-bull/oldemeyer_0.pdf
OA Status: diamond
Cited By: 3
References: 27
Related Works: 10
OpenAlex ID: https://openalex.org/W2806581714

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OpenAlex ID: https://openalex.org/W2806581714

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DOI: https://doi.org/10.7755/fb.116.3.4

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Title: A multiyear hierarchical Bayesian mark-recapture model incorporating data on recurring salmonid behavior to account for sparse or missing data

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Type: article

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Language: en

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Publication year: 2018

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Publication date: 2018-06-07

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Authors: Bryce N. Oldemeyer, Timothy Copeland, Brian P. Kennedy

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Landing page: https://doi.org/10.7755/fb.116.3.4

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PDF URL: https://spo.nmfs.noaa.gov/sites/default/files/pdf-content/fish-bull/oldemeyer_0.pdf

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OA status: diamond

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OA URL: https://spo.nmfs.noaa.gov/sites/default/files/pdf-content/fish-bull/oldemeyer_0.pdf

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Concepts: Mark and recapture, Bayesian probability, Fishery, Missing data, Computer science, Bayesian inference, Environmental science, Artificial intelligence, Machine learning, Biology, Demography, Sociology, Population

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Cited by: 3

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Citations by year (recent): 2024: 2, 2023: 1

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