Confidence Region Visualization

Confidence Region Visualization is a visual representation technique that delineates a statistically derived region in multivariate space to convey the uncertainty associated with parameter estimates or predicted outcomes, distinguishing itself from other uncertainty visualization methods by emphasizing the joint variability and interdependence of multiple variables through geometric enclosures such as ellipsoids, polygons, or level sets.

12

Publications

409

Citations

25

Authors

15

Institutions

Publications per year

2017–2026

0

Authors

25

  1. NR
    Norman R. Draper

    University of Wisconsin–Madison, United States

    1 publications · 24 citations

    1

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  2. WP
    Wolfgang Polonik

    University of California, Davis, United States

    1 publications · 46 citations

    1

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  3. JC
    Jong Chul Ye

    Korea Advanced Institute of Science and Technology, South Korea

    1 publications · 36 citations

    1

    h-index

  4. GS
    G. S. Watson

    Princeton University, United States

    1 publications · 11 citations

    1

    h-index

  5. TC
    Ted Chang

    University of Kansas, United States

    1 publications · 14 citations

    1

    h-index

1–5 of 25

Venues

  1. 1

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  2. 1

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  3. Computers & Geosciences

    CAGEO · 1 publications · 14 citations

    1

    h-index

  4. Biometrika

    1 publications · 24 citations

    1

    h-index

  5. Mathematical Geology

    1 publications · 11 citations

    1

    h-index

1–5