Bayesian Visualization

Bayesian Visualization is a probabilistic visualization method that incorporates Bayesian inference to represent uncertainty through posterior distributions derived from prior knowledge and observed data.

35

Publications

5.2K

Citations

84

Authors

45

Institutions

Publications per year

2017–2026

13

Authors

84

  1. AE
    A. Eichler

    University of Vienna, Austria

    4 publications · 119 citations

    4

    h-index

  2. KB
    Katharina Böcherer-Linder

    University of Kassel, Germany

    4 publications · 119 citations

    4

    h-index

  3. JG
    Jonah Gabry

    Columbia University, United States

    2 publications · 1.1K citations

    2

    h-index

  4. EP
    Eric P. Fox

    Pratt & Whitney (United States)

    2 publications · 678 citations

    2

    h-index

  5. KB
    Karin Binder

    University of Regensburg, Germany

    2 publications · 98 citations

    2

    h-index

1–5 of 84

Venues

  1. Frontiers in Psychology

    5 publications · 205 citations

    5

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 4 publications · 345 citations

    4

    h-index

  3. Technometrics

    2 publications · 678 citations

    2

    h-index

  4. Journal of Computational and Graphical Statistics

    JCGS · 2 publications · 435 citations

    2

    h-index

  5. 1

    h-index

1–5