Covariance Function Modeling
Covariance Function Modeling is a statistical framework in geodesy that characterizes the spatial correlation structure of geoid undulations by specifying a mathematical function describing the covariance between gravity anomalies or geoid heights at different locations as a function of their separation.
109
Publications
7.9K
Citations
257
Authors
164
Institutions
Publications per year
2017–2026
24
Parents
109
Infinite Mixtures of Gaussian Process Experts
Carl Edward Rasmussen, Zoubin Ghahramani · 2001 · 369 citations
IS QUASAR OPTICAL VARIABILITY A DAMPED RANDOM WALK?
The Astrophysical Journal · 2013 · 343 citations · Full text
Natural Sciences, Astronomy, Physics +12
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University of Chicago
Chicago, United States
4 h-index
4 publications
384 citations

Uppsala University
Uppsala, Sweden
3 h-index
4 publications
110 citations

The University of Sydney
Sydney, Australia
3 h-index
7 publications
431 citations
The Ohio State University
Columbus, United States
3 h-index
4 publications
1.7K citations
University of Sheffield
Sheffield, United Kingdom
3 h-index
3 publications
97 citations
Iowa State University
Ames, United States
3 h-index
3 publications
47 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
10 publications
257 citations
University of California, Berkeley
Berkeley, United States
3 h-index
3 publications
347 citations
1–8 of 164
Repository · 4 publications · 124 citations
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3 publications · 366 citations
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3 publications · 334 citations
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3 publications · 81 citations
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JGR · 2 publications · 38 citations
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