Prediction Interval Visualization
Prediction Interval Visualization is a visual representation method that depicts the range of possible outcomes for a predicted value at a given confidence level, distinguishing itself from other uncertainty visualizations by specifically encoding the variability and uncertainty inherent in future observations rather than model parameters or point estimates.
4
Publications
216
Citations
11
Authors
8
Institutions
Publications per year
2017–2026
1
4
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8
Northwestern University
Evanston, United States
1 h-index
1 publications
80 citations

University of Calgary
Calgary, Canada
1 h-index
1 publications
36 citations
Harvard University
Cambridge, United States
1 h-index
1 publications
24 citations
Microsoft (United States)
Redmond, United States
1 h-index
2 publications
160 citations
University of Washington
Seattle, United States
1 h-index
2 publications
152 citations
Harvard Pilgrim Health Care
Boston, United States
1 h-index
1 publications
24 citations

Indian Institute of Technology Madras
Chennai, India
1 h-index
2 publications
72 citations
Microsoft Research New York City (United States)
New York, United States
1 h-index
2 publications
160 citations
1–8 of 8
SBR · 1 publications · 24 citations
1
h-index
ACP · 1 publications · 76 citations
1
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MESE · 1 publications · 36 citations
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