Random Field Interpolation
Random Field Interpolation is a statistical estimation technique that, as a subclass of spatial interpolation methods, uniquely characterizes the prediction of unobserved values of a random field at unsampled locations based on the spatial correlation structure of the observed data.
14
Publications
1.7K
Citations
46
Authors
24
Institutions
Publications per year
2017–2026
4
Parents
14
NIRS-SPM: Statistical parametric mapping for near-infrared spectroscopy
Jing Ye, Sungho Tak, Kitae Jang et al. · NeuroImage · 2008 · 1.2K citations
Regional TEC mapping with Random Field Priors and Kriging
Işiltan Sayin · Radio Science · 2008 · 65 citations · Full text
1–5 of 14
46
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Max Planck Institute for Mathematics in the Sciences, Germany
1 publications · 22 citations
1
h-index
1–5 of 46
24

UNSW Sydney
Sydney, Australia
2 h-index
5 publications
109 citations
Rajiv Gandhi Institute of Petroleum Technology
Raebareli, India
1 h-index
1 publications
12 citations
Office National d'Études et de Recherches Aérospatiales
Palaiseau, France
1 h-index
4 publications
80 citations
Ashkelon Academic College
Ashqelon, Israel
1 h-index
1 publications
27 citations

Universitat Pompeu Fabra
Barcelona, Spain
1 h-index
6 publications
96 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
1 publications
20 citations

Leibniz University Hannover
Hanover, Germany
1 h-index
1 publications
12 citations
KU Leuven
Leuven, Belgium
1 h-index
1 publications
32 citations
1–8 of 24
Repository · 1 publications · 15 citations
1
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1 publications · 49 citations
1
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JUQ · 1 publications · 18 citations
1
h-index
1 publications · 20 citations
1
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Repository · 1 publications · 22 citations
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