Bayesian Abundance Estimation

Bayesian Abundance Estimation is a statistical inference method that belongs to the class of abundance estimation techniques and is distinguished by its incorporation of prior knowledge and uncertainty through Bayesian probability frameworks to derive posterior distributions of population sizes or concentrations.

112

Publications

5.1K

Citations

352

Authors

212

Institutions

Publications per year

2017–2026

27

Authors

352

  1. PR
    Paul R. Wade

    NOAA National Marine Fisheries Service Alaska Fisheries Science Center, United States

    5 publications · 589 citations

    5

    h-index

  2. ÉP
    Étienne Prévost

    Nutrition Metabolism Aquaculture, France

    3 publications · 81 citations

    3

    h-index

  3. JA
    Jérôme A. Dupuis

    Université Toulouse III - Paul Sabatier, France

    3 publications · 69 citations

    3

    h-index

  4. CF
    Christopher Fonnesbeck

    Vanderbilt University, United States

    2 publications · 96 citations

    2

    h-index

  5. SY
    Satoshi Yamamoto

    Kyoto University, Japan

    2 publications · 137 citations

    2

    h-index

1–5 of 352

Venues

  1. Biometrics

    12 publications · 897 citations

    12

    h-index

  2. 7

    h-index

  3. 7

    h-index

  4. ICES Journal of Marine Science

    5 publications · 111 citations

    5

    h-index

  5. Methods in Ecology and Evolution

    5 publications · 330 citations

    5

    h-index

1–5