Covariance is a statistical measure that quantifies the degree to which two random variables linearly vary together, calculated as the expected value of the product of their deviations from their respective means.
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Specification Tests in Econometrics
Jerry A. Hausman · Econometrica · 1978 · 18.4K citations
Unscented Filtering and Nonlinear Estimation
Simon Julier, Jeffrey Uhlmann · Proceedings of the IEEE · 2004 · 6.5K citations
Computing, Data Science, Forecasting +14
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Stanford University
Stanford, United States
46 h-index
165 publications
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Centre National de la Recherche Scientifique
Paris, France
41 h-index
261 publications
13.4K citations
Massachusetts Institute of Technology
Cambridge, United States
40 h-index
150 publications
15K citations
University of Michigan
Ann Arbor, United States
38 h-index
125 publications
12.4K citations
University of Washington
Seattle, United States
37 h-index
96 publications
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Harvard University
Cambridge, United States
36 h-index
84 publications
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University of California, Berkeley
Berkeley, United States
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122 publications
12.7K citations
University of Wisconsin–Madison
Madison, United States
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84 publications
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211 publications · 18.5K citations
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129 publications · 16.7K citations
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98 publications · 14.5K citations
47
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- Biometrika
76 publications · 42.7K citations
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- IEEE Transactions on Automatic Control
83 publications · 5.4K citations
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