Covariance Functions
Covariance Function is a mathematical function that specifies the covariance between any two points in a Gaussian process, characterizing the spatial dependence structure by defining how similarity decays with distance in the input space.
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Variants
Covariance Function
685
Finn Lindgren, Håvard Rue, Johan Lindström · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2011 · 2.7K citations · Full text
Spectra of some self-exciting and mutually exciting point processes
Alan G. Hawkes · Biometrika · 1971 · 2.2K citations
The intrinsic random functions and their applications
G. Matheron · Advances in Applied Probability · 1973 · 1.4K citations · Full text
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Wichita State University
Wichita, United States
13 h-index
19 publications
477 citations

Kagoshima University
Kagoshima, Japan
11 h-index
13 publications
315 citations

University of Salento
Lecce, Italy
11 h-index
23 publications
588 citations

Universidad de Granada
Granada, Spain
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27 publications
669 citations
The Ohio State University
Columbus, United States
11 h-index
16 publications
2.2K citations

University of New England
Armidale, Australia
11 h-index
16 publications
1.7K citations
University of Washington
Seattle, United States
10 h-index
13 publications
1.4K citations

Universidad de Jaén
Jaén, Spain
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15 publications
391 citations
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Repository · 28 publications · 1.3K citations
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