Probability Distribution Visualization

Probability Distribution Visualization is a method within the field of uncertainty visualization that graphically represents the likelihood of possible outcomes in a statistical distribution to convey the inherent variability and uncertainty in data predictions or measurements.

27

Publications

1.5K

Citations

73

Authors

41

Institutions

Publications per year

2017–2026

8

Authors

73

  1. MK
    Matthew Kay

    University of Washington, United States

    2 publications · 89 citations

    2

    h-index

  2. JH
    Jessica Hullman

    University of Washington, United States

    2 publications · 264 citations

    2

    h-index

  3. HS
    Han‐Wei Shen

    The Ohio State University, United States

    2 publications · 46 citations

    2

    h-index

  4. DE
    David E. Burmaster

    Alceon Corporation (United States), United States

    1 publications · 81 citations

    1

    h-index

  5. BS
    Bernhard Schölkopf

    Max Planck Institute for Intelligent Systems, Germany

    1 publications · 27 citations

    1

    h-index

1–5 of 73

Venues

  1. The American Statistician

    3 publications · 150 citations

    3

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 115 citations

    2

    h-index

  3. PLoS ONE

    2 publications · 272 citations

    2

    h-index

  4. Physical Review Research

    1 publications · 12 citations

    1

    h-index

  5. Journal of Computational and Graphical Statistics

    JCGS · 1 publications · 20 citations

    1

    h-index

1–5