Conditional Mean Estimation
Conditional Mean Estimation is a statistical inference method that belongs to the class of conditional simulation techniques, distinguished by its focus on estimating the expected value of a random field or process at unsampled locations given observed data and spatial correlation structures.
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Publications
78.2K
Citations
1.3K
Authors
644
Institutions
Publications per year
2017–2026
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Harvard University
Cambridge, United States
14 h-index
24 publications
8.5K citations
Michigan State University
East Lansing, United States
14 h-index
18 publications
2.3K citations

National Bureau of Economic Research
Cambridge, United States
12 h-index
19 publications
1.1K citations
Northwestern University
Evanston, United States
12 h-index
13 publications
4.6K citations

University of Minnesota
Minneapolis, United States
11 h-index
15 publications
1.3K citations
Princeton University
Princeton, United States
11 h-index
15 publications
722 citations

The University of Melbourne
Melbourne, Australia
10 h-index
16 publications
3K citations
New York University
New York, United States
10 h-index
15 publications
1.1K citations
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33 publications · 6.5K citations
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26 publications · 3.6K citations
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Repository · 40 publications · 1.5K citations
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21 publications · 2.4K citations
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JBES · 18 publications · 1.3K citations
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