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

Authors

18

  1. RC
    Robert C. Thunell

    University of South Carolina, United States

    2 publications · 144 citations

    2

    h-index

  2. FG
    Felipe García‐Rodríguez

    Universidad de la República de Uruguay, Uruguay

    1 publications · 24 citations

    1

    h-index

  3. DF
    Douglas F. Williams

    University of South Carolina, United States

    1 publications · 54 citations

    1

    h-index

  4. SS
    Silke Steph

    Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Germany

    1 publications · 19 citations

    1

    h-index

  5. MR
    Mariano Remírez

    China University of Geosciences, China

    1 publications · 134 citations

    1

    h-index

1–5 of 18

Venues

  1. 3

    h-index

  2. Earth-Science Reviews

    1 publications · 134 citations

    1

    h-index

  3. Organic Geochemistry

    1 publications · 66 citations

    1

    h-index

  4. Journal of Paleolimnology

    1 publications · 24 citations

    1

    h-index

  5. Marine Micropaleontology

    1 publications · 90 citations

    1

    h-index

1–5