Covariance Modeling
Covariance Modeling is a geostatistical method that specifies the spatial or temporal dependence structure between random variables by defining the covariance function, distinguishing it from other modeling approaches through its formal characterization of second-order stochastic relationships.
507
Publications
83.2K
Citations
1.5K
Authors
671
Institutions
Publications per year
2017–2026
84
507
Practical Issues in Structural Modeling
Peter M. Bentler, Chih-Ping Chou · Sociological Methods & Research · 1987 · 5.7K citations
Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation
Donald W. K. Andrews · Econometrica · 1991 · 4.1K citations
Computing, Economics, Econometrics +15
1–5 of 507
1.5K
University of Illinois Urbana-Champaign, United States
11 publications · 1.1K citations
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h-index
7
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6
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6
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6
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1–5 of 1.5K
671
University of Illinois Urbana-Champaign
Urbana, United States
15 h-index
50 publications
5.3K citations
University of Wisconsin–Madison
Madison, United States
11 h-index
16 publications
35.5K citations
University of Washington
Seattle, United States
10 h-index
17 publications
1.4K citations
The Ohio State University
Columbus, United States
10 h-index
23 publications
4.7K citations
Harvard University
Cambridge, United States
8 h-index
14 publications
7K citations
Texas A&M University
College Station, United States
8 h-index
10 publications
663 citations
University of Florida
Gainesville, United States
8 h-index
12 publications
565 citations
University of Chicago
Chicago, United States
7 h-index
12 publications
35.6K citations
1–8 of 671
MBR · 11 publications · 1.5K citations
11
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10 publications · 35K citations
10
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SEM · 9 publications · 747 citations
9
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9 publications · 225 citations
9
h-index
7 publications · 1.4K citations
7
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1–5