Probabilistic Inversion

Probabilistic Inversion is a geophysical inversion method that belongs to the class of inversion techniques and is distinguished by its incorporation of probabilistic frameworks to quantify uncertainties in model parameters and data, providing a posterior distribution of plausible Earth models consistent with observed data and prior knowledge.

344

Publications

19.6K

Citations

799

Authors

419

Institutions

Publications per year

2017–2026

136

Authors

799

  1. SE
    Stan E. Dosso

    University of Victoria, Canada

    16 publications · 1K citations

    15

    h-index

  2. NL
    Niklas Linde

    University of Lausanne, Switzerland

    13 publications · 546 citations

    12

    h-index

  3. AC
    Andrew Curtis

    University of Edinburgh, United Kingdom

    12 publications · 757 citations

    12

    h-index

  4. JD
    Jan Dettmer

    University of Victoria, Canada

    12 publications · 657 citations

    12

    h-index

  5. JC
    Juan Carlos Afonso

    Macquarie University, Australia

    9 publications · 613 citations

    9

    h-index

1–5 of 799

Venues

  1. Geophysical Journal International

    GJI · 57 publications · 4.6K citations

    31

    h-index

  2. Geophysics

    45 publications · 2.9K citations

    29

    h-index

  3. Journal of Geophysical Research Solid Earth

    17 publications · 980 citations

    15

    h-index

  4. Water Resources Research

    13 publications · 946 citations

    13

    h-index

  5. The Journal of the Acoustical Society of America

    JASA · 11 publications · 772 citations

    11

    h-index

1–5