Bayesian Bycatch Estimation

Bayesian Bycatch Estimation is a statistical methodology that applies Bayesian inference to quantify and reduce uncertainty in the estimation of non-target species captures in fisheries, incorporating prior knowledge and observed data to produce probabilistic bycatch predictions.

11

Publications

464

Citations

47

Authors

32

Institutions

Publications per year

2017–2026

4

Authors

47

  1. JE
    Jeffrey E. Moore

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

    2 publications · 117 citations

    2

    h-index

  2. TM
    Tara M. Cox

    Marine Conservation Institute, United States

    1 publications · 60 citations

    1

    h-index

  3. JF
    Jose Francisco Amengual

    Mediterranean Institute for Advanced Studies, Spain

    1 publications · 42 citations

    1

    h-index

  4. MS
    Michelle Sims

    University of Bath, United Kingdom

    1 publications · 60 citations

    1

    h-index

  5. TG
    Tim Gerrodette

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

    1 publications · 42 citations

    1

    h-index

1–5 of 47

Venues

  1. Ecological Applications

    3 publications · 177 citations

    3

    h-index

  2. 2

    h-index

  3. Fisheries Research

    1 publications · 20 citations

    1

    h-index

  4. 1

    h-index

  5. Animal Biodiversity and Conservation

    1 publications · 47 citations

    1

    h-index

1–5