Probability Density Visualization

Probability Density Visualization is a probabilistic visualization technique that specifically represents the distribution of probability density functions over continuous domains to convey the relative likelihood of values within uncertain data.

16

Publications

1.3K

Citations

39

Authors

24

Institutions

Publications per year

2017–2026

3

Authors

39

  1. DM
    David M. Bashtannyk

    Monash University, Australia

    2 publications · 435 citations

    2

    h-index

  2. GK
    Gary K. Grunwald

    University of Colorado Denver, United States

    2 publications · 435 citations

    2

    h-index

  3. RJ
    Rob J. Hyndman

    Monash University, Australia

    2 publications · 435 citations

    2

    h-index

  4. MC
    Michael C. Thrun

    Philipps University of Marburg, Germany

    1 publications · 68 citations

    1

    h-index

  5. RP
    Robert Pool

    University of Colorado Boulder, United States

    1 publications · 17 citations

    1

    h-index

1–5 of 39

Venues

  1. Journal of Computational and Graphical Statistics

    JCGS · 2 publications · 435 citations

    2

    h-index

  2. 1

    h-index

  3. Radiation Measurements

    1 publications · 265 citations

    1

    h-index

  4. Photogrammetric Engineering & Remote Sensing

    1 publications · 25 citations

    1

    h-index

  5. Journal of Chemical Education

    1 publications · 20 citations

    1

    h-index

1–5