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
12
1–5 of 12
25
1
h-index
1
h-index
Korea Advanced Institute of Science and Technology, South Korea
1 publications · 36 citations
1
h-index
1
h-index
1
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1–5 of 25
15
Cranfield University
Cranfield, United Kingdom
1 h-index
1 publications
26 citations
Tokyo University of Science
Tokyo, Japan
1 h-index
3 publications
30 citations
Princeton University
Princeton, United States
1 h-index
2 publications
22 citations
University of Kansas
Lawrence, United States
1 h-index
2 publications
28 citations
University of Mannheim
Mannheim, Germany
1 h-index
1 publications
46 citations
University of Newcastle Australia
Newcastle, Australia
1 h-index
1 publications
21 citations
University of California, Davis
Davis, United States
1 h-index
1 publications
46 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
3 publications
108 citations
1–8 of 15
1 publications · 24 citations
1
h-index
1 publications · 21 citations
1
h-index
CAGEO · 1 publications · 14 citations
1
h-index
1 publications · 24 citations
1
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1 publications · 11 citations
1
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1–5