Stochastic Modeling
Stochastic modeling is a quantitative analytical method that employs random variables and probability distributions to characterize uncertainty and derive distributions of possible outcomes.
46.9K
Publications
2.9M
Citations
69.4K
Authors
9K
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2017–2026
10.8K
46.9K
A Stochastic Approximation Method
Herbert Robbins, Sutton Monro · The Annals of Mathematical Statistics · 1951 · 9.6K citations · Full text
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Stanford University
Stanford, United States
99 h-index
635 publications
88.6K citations
Massachusetts Institute of Technology
Cambridge, United States
95 h-index
641 publications
57.5K citations

Centre National de la Recherche Scientifique
Paris, France
91 h-index
1.3K publications
65.6K citations
University of California, Berkeley
Berkeley, United States
81 h-index
658 publications
47.4K citations
Georgia Institute of Technology
Atlanta, United States
76 h-index
505 publications
46.6K citations

Cornell University
Ithaca, United States
74 h-index
449 publications
33.4K citations

Imperial College London
London, United Kingdom
73 h-index
574 publications
42K citations
University of Cambridge
Cambridge, United Kingdom
70 h-index
417 publications
57.5K citations
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639 publications · 118.7K citations
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466 publications · 46.3K citations
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568 publications · 56.7K citations
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432 publications · 71.6K citations
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354 publications · 31.3K citations
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