Bayesian Data-limited Assessment

Bayesian Data-Limited Assessment is a statistical framework for estimating fish stock status and associated uncertainties by integrating prior knowledge with limited observational data through Bayesian inference, specifically designed for situations where conventional stock assessment data are sparse or incomplete.

15

Publications

1.3K

Citations

56

Authors

39

Institutions

Publications per year

2017–2026

4

Authors

56

  1. GB
    George B. Arhonditsis

    University of Toronto, Canada

    3 publications · 66 citations

    3

    h-index

  2. AK
    Anna Kuparinen

    University of Helsinki, Finland

    2 publications · 168 citations

    2

    h-index

  3. SP
    Satyendra P. Bhavsar

    Ministry of the Environment, Conservation and Parks, Canada

    2 publications · 53 citations

    2

    h-index

  4. CR
    C. Richard Cothern

    University of Dayton, United States

    1 publications · 37 citations

    1

    h-index

  5. AJ
    Anthony J. Booth

    Rhodes University, South Africa

    1 publications · 21 citations

    1

    h-index

1–5 of 56

Venues

  1. Fisheries Research

    2 publications · 58 citations

    2

    h-index

  2. Environmental Reviews

    2 publications · 168 citations

    2

    h-index

  3. 2

    h-index

  4. Clinical Pharmacokinetics

    1 publications · 82 citations

    1

    h-index

  5. Chemosphere

    1 publications · 24 citations

    1

    h-index

1–5