Covariance Estimation
Covariance Estimation is a statistical inference method that, within the framework of Kalman Filtering and parameter estimation, characterizes the uncertainty of state or parameter estimates by specifying the covariance matrix that quantifies the expected dispersion and correlation of estimation errors around their mean values.
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2017–2026
335
1.6K
Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation
Donald W. K. Andrews · Econometrica · 1991 · 4.1K citations
Computing, Economics, Econometrics +15
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Centre National de la Recherche Scientifique
Paris, France
20 h-index
70 publications
3.6K citations
Princeton University
Princeton, United States
20 h-index
40 publications
6.5K citations
University of Michigan
Ann Arbor, United States
19 h-index
53 publications
7.2K citations
Massachusetts Institute of Technology
Cambridge, United States
19 h-index
46 publications
3.2K citations
University of Wisconsin–Madison
Madison, United States
18 h-index
30 publications
9.4K citations
University of California, Berkeley
Berkeley, United States
17 h-index
52 publications
7.2K citations

Uppsala University
Uppsala, Sweden
17 h-index
29 publications
3.7K citations

Universidad de Granada
Granada, Spain
16 h-index
42 publications
1.7K citations
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89 publications · 7.7K citations
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47 publications · 6.6K citations
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40 publications · 4.5K citations
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42 publications · 7.4K citations
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37 publications · 3.3K citations
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