Bayesian Paleosalinity Inference
Bayesian Paleosalinity Inference is a statistical framework that applies Bayesian inference methods to reconstruct past salinity conditions of aquatic environments by integrating proxy data with prior geological and geochemical knowledge through probabilistic modeling.
8
Publications
553
Citations
18
Authors
16
Institutions
Publications per year
2017–2026
1
Parents
8
1–5 of 8
18
2
h-index
1
h-index
1
h-index
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Germany
1 publications · 19 citations
1
h-index
1
h-index
1–5 of 18
16

Consejo Nacional de Investigaciones Científicas y Técnicas
Buenos Aires, Argentina
2 h-index
4 publications
293 citations
University of Bremen
Bremen, Germany
1 h-index
2 publications
38 citations
Indiana University Bloomington
Bloomington, United States
1 h-index
2 publications
226 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
3 publications
198 citations

Macquarie University
Sydney, Australia
1 h-index
1 publications
66 citations
Woods Hole Oceanographic Institution
Falmouth, United States
1 h-index
2 publications
38 citations

National University of Mar del Plata
Mar del Plata, Argentina
1 h-index
3 publications
159 citations
University of Chinese Academy of Sciences
Beijing, China
1 h-index
2 publications
132 citations
1–8 of 16
3 publications · 220 citations
3
h-index
1 publications · 134 citations
1
h-index
1 publications · 66 citations
1
h-index
1 publications · 24 citations
1
h-index
1 publications · 90 citations
1
h-index
1–5