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
Parents
11
Curry J. Cunningham, Peter A. H. Westley, Milo D. Adkison · Global Change Biology · 2018 · 75 citations · Full text
1–5 of 11
47
NOAA National Marine Fisheries Service Southwest Fisheries Science Center, United States
2 publications · 117 citations
2
h-index
1
h-index
Mediterranean Institute for Advanced Studies, Spain
1 publications · 42 citations
1
h-index
1
h-index
NOAA National Marine Fisheries Service Southwest Fisheries Science Center, United States
1 publications · 42 citations
1
h-index
1–5 of 47
32
NOAA National Marine Fisheries Service
Silver Spring, United States
3 h-index
3 publications
96 citations
NOAA National Marine Fisheries Service Southwest Fisheries Science Center
La Jolla, United States
3 h-index
5 publications
170 citations
Duke University
Durham, United States
2 h-index
4 publications
282 citations
Marine Conservation Institute
Seattle, United States
2 h-index
3 publications
201 citations
National Oceanic and Atmospheric Administration
Washington, United States
1 h-index
1 publications
34 citations

San Diego State University
San Diego, United States
1 h-index
1 publications
60 citations
Virginia Tech
Blacksburg, United States
1 h-index
2 publications
68 citations
Mediterranean Institute for Advanced Studies
Esporles, Spain
1 h-index
3 publications
126 citations
1–8 of 32
3 publications · 177 citations
3
h-index
2 publications · 48 citations
2
h-index
1 publications · 20 citations
1
h-index
1 publications · 13 citations
1
h-index
1 publications · 47 citations
1
h-index
1–5