Moment Estimation
Moment Estimation is a statistical inference method that belongs to the class of moment-based techniques, distinguished by its use of polynomial chaos expansions to approximate and compute statistical moments of uncertain systems governed by stochastic models.
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3.1K
Authors
1.4K
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2017–2026
381
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Large Sample Properties of Generalized Method of Moments Estimators
Lars Peter Hansen · Econometrica · 1982 · 13.9K citations
Field Computation by Moment Methods
D. S. Jones · The Computer Journal · 1969 · 3.5K citations · Full text
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Massachusetts Institute of Technology, United States
10 publications · 2.8K citations
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Centre National de la Recherche Scientifique
Paris, France
17 h-index
47 publications
3K citations
Stanford University
Stanford, United States
16 h-index
29 publications
2.6K citations
Princeton University
Princeton, United States
15 h-index
21 publications
865 citations

Imperial College London
London, United Kingdom
14 h-index
25 publications
872 citations
Massachusetts Institute of Technology
Cambridge, United States
14 h-index
22 publications
3.2K citations
University of California San Diego
San Diego, United States
13 h-index
15 publications
1.3K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
13 h-index
18 publications
669 citations
University of Chicago
Chicago, United States
13 h-index
14 publications
3.6K citations
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47 publications · 9.7K citations
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27 publications · 21K citations
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28 publications · 3.8K citations
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23 publications · 1.3K citations
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Repository · 27 publications · 1.4K citations
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