Bayesian Biomass Estimation

Bayesian Biomass Estimation is a statistical inference framework within fisheries stock assessment that applies Bayesian methods to integrate prior knowledge and observational data for quantifying uncertainty in estimates of spawning stock biomass.

57

Publications

2.7K

Citations

194

Authors

104

Institutions

Publications per year

2017–2026

27

Authors

194

  1. ZC
    Zuozhi Chen

    Chinese Academy of Fishery Sciences, China

    4 publications · 76 citations

    4

    h-index

  2. KZ
    Kui Zhang

    Chinese Academy of Fishery Sciences, China

    4 publications · 76 citations

    4

    h-index

  3. AU
    Andrés Uriarte

    AZTI, Spain

    3 publications · 221 citations

    3

    h-index

  4. AE
    André E. Punt

    University of Washington, United States

    3 publications · 158 citations

    3

    h-index

  5. YQ
    Yongsong Qiu

    Chinese Academy of Fishery Sciences, China

    3 publications · 52 citations

    3

    h-index

1–5 of 194

Venues

  1. ICES Journal of Marine Science

    11 publications · 238 citations

    11

    h-index

  2. Frontiers in Marine Science

    9 publications · 216 citations

    9

    h-index

  3. Fisheries Research

    6 publications · 350 citations

    6

    h-index

  4. 6

    h-index

  5. Marine and Freshwater Research

    2 publications · 103 citations

    2

    h-index

1–5