Probabilistic Interpolation
Probabilistic Interpolation is a spatial interpolation method that, as a member of the statistical interpolation class, fundamentally distinguishes itself by incorporating probabilistic models to quantify uncertainty in predicted values at unsampled locations.
30
Publications
1.1K
Citations
81
Authors
42
Institutions
Publications per year
2017–2026
12
Parents
30
1–5 of 30
81
2
h-index
1
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Brigham and Women's Hospital, United States
1 publications · 27 citations
1
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1
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1
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1–5 of 81
42
University of Sheffield
Sheffield, United Kingdom
3 h-index
11 publications
347 citations
Insigneo
Sheffield, United Kingdom
3 h-index
6 publications
188 citations

City University of Hong Kong
Hong Kong, Hong Kong
3 h-index
4 publications
117 citations
King's College London
London, United Kingdom
3 h-index
17 publications
535 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
2 h-index
8 publications
304 citations

Imperial College London
London, United Kingdom
1 h-index
3 publications
132 citations
Bernstein Center for Computational Neuroscience Freiburg
Freiburg, Germany
1 h-index
1 publications
17 citations
Courant Institute of Mathematical Sciences
New York, United States
1 h-index
1 publications
10 citations
1–8 of 42
1 publications · 14 citations
1
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1 publications · 34 citations
1
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ITETBT · 1 publications · 20 citations
1
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1 publications · 13 citations
1
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1 publications · 17 citations
1
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