Bayesian Inverse Analysis

Bayesian Inverse Analysis is a statistical inference framework within inverse structural analysis that uses Bayesian probability to update the probability distribution of unknown model parameters by combining prior knowledge with observed data through Bayes' theorem.

103

Publications

5.4K

Citations

318

Authors

201

Institutions

Publications per year

2017–2026

54

Authors

318

  1. HR
    Helcio R. B. Orlande

    Universidade Federal do Rio de Janeiro, Brazil

    9 publications · 229 citations

    9

    h-index

  2. RM
    Renato M. Cotta

    Universidade Federal do Rio de Janeiro, Brazil

    5 publications · 114 citations

    5

    h-index

  3. CP
    Carolina P. Naveira‐Cotta

    Universidade Federal do Rio de Janeiro, Brazil

    5 publications · 114 citations

    5

    h-index

  4. DJ
    Daniel J. Jacob

    Harvard University, United States

    5 publications · 548 citations

    5

    h-index

  5. YH
    Yusuke Honjo

    Gifu University, Japan

    4 publications · 152 citations

    4

    h-index

1–5 of 318

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 134 citations

    5

    h-index

  2. Atmospheric chemistry and physics

    4 publications · 371 citations

    4

    h-index

  3. Journal of Geophysical Research Atmospheres

    JGR · 4 publications · 637 citations

    4

    h-index

  4. Water Resources Research

    3 publications · 92 citations

    3

    h-index

  5. Inverse Problems in Science and Engineering

    IPSE · 3 publications · 61 citations

    3

    h-index

1–5