Gaussian Processes
Gaussian Processes is a stochastic process in which every finite collection of random variables has a multivariate normal distribution, distinguished by its complete characterization through mean and covariance functions.
8.7K
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540.9K
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14.4K
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3.3K
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2017–2026
2.4K
Variants
Gaussian Process
Parents
8.7K
The Variation of Certain Speculative Prices
Benoît B. Mandelbrot · The Journal of Business · 1963 · 4.7K citations
Engineering, Economics, Finance +11
Writing on dirty paper (Corresp.)
Mónica Costa · IEEE Transactions on Information Theory · 1983 · 3.8K citations
Trevor Hastie, Robert Tibshirani · Statistical Science · 1986 · 3.4K citations
The statistics of peaks of Gaussian random fields
J. Bardeen, J. Richard Bond, N. Kaiser et al. · The Astrophysical Journal · 1986 · 3.3K citations
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University of Cambridge
Cambridge, United Kingdom
54 h-index
293 publications
20.5K citations
University of Sheffield
Sheffield, United Kingdom
48 h-index
194 publications
16.2K citations
Massachusetts Institute of Technology
Cambridge, United States
47 h-index
242 publications
15.1K citations

Centre National de la Recherche Scientifique
Paris, France
46 h-index
387 publications
25.7K citations
Stanford University
Stanford, United States
41 h-index
126 publications
14.9K citations
University of Oxford
Oxford, United Kingdom
40 h-index
211 publications
19.2K citations
University of Washington
Seattle, United States
40 h-index
105 publications
18.5K citations

Cornell University
Ithaca, United States
39 h-index
152 publications
12.1K citations
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224 publications · 14.6K citations
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144 publications · 16.7K citations
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194 publications · 19.8K citations
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Repository · 431 publications · 16.4K citations
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169 publications · 10.6K citations
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