Covariance Parameter Estimation
Covariance Parameter Estimation is a statistical inference method that belongs to the class of spatial modeling techniques, specifically designed to quantify the parameters governing the covariance structure of spatially referenced random processes by differentiating itself through the incorporation of spatial dependence patterns in geostatistical or lattice data.
225
Publications
47K
Citations
471
Authors
265
Institutions
Publications per year
2017–2026
35
Parents
225
Multivariate Simultaneous Generalized ARCH
Robert F. Engle, Kenneth F. Kroner · Econometric Theory · 1995 · 4.6K citations
Inferential statistical methods for estimating and comparing cosinor parameters.
C. Raymond Bingham, B. Arbogast, J. K. Lee et al. · PubMed · 1983 · 644 citations
Olivier Roustant, David Ginsbourger, Yves Deville · Journal of Statistical Software · 2012 · 561 citations · Full text
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King Abdullah University of Science and Technology, Saudi Arabia
5 publications · 87 citations
4
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265

University of Leeds
Leeds, United Kingdom
8 h-index
13 publications
2.1K citations
University of Chicago
Chicago, United States
7 h-index
10 publications
952 citations
North Carolina State University
Raleigh, United States
6 h-index
8 publications
193 citations
University of Iowa
Iowa City, United States
5 h-index
5 publications
867 citations
University of Wisconsin–Madison
Madison, United States
5 h-index
9 publications
1.6K citations
Harvard University
Cambridge, United States
5 h-index
5 publications
356 citations
Texas A&M University
College Station, United States
4 h-index
10 publications
582 citations
Princeton University
Princeton, United States
4 h-index
6 publications
268 citations
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13 publications · 1.8K citations
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11 publications · 1.4K citations
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CAGEO · 5 publications · 188 citations
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5 publications · 494 citations
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CSDA · 5 publications · 185 citations
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