Stochastic Process Simulation
Stochastic Process Simulation is a computational modeling approach that belongs to the class of process simulation techniques and is distinguished by its incorporation of random variables and probabilistic transitions to represent uncertainty and variability in dynamic systems over time.
656
Publications
37.3K
Citations
1.6K
Authors
715
Institutions
Publications per year
2017–2026
130
Parents
656
Direct cell reprogramming is a stochastic process amenable to acceleration
Jacob H. Hanna, Krishanu Saha, Bernardo Pando et al. · Nature · 2009 · 1K citations · Full text
Screening, Predicting, and Computer Experiments
William J. Welch, R. Buck, Jerome Sacks et al. · Technometrics · 1992 · 632 citations
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Stanford University
Stanford, United States
19 h-index
33 publications
3K citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
32 publications
1.2K citations
Purdue University West Lafayette
West Lafayette, United States
10 h-index
16 publications
384 citations
Northwestern University
Evanston, United States
10 h-index
12 publications
737 citations
North Carolina State University
Raleigh, United States
10 h-index
16 publications
638 citations
University of Michigan
Ann Arbor, United States
9 h-index
12 publications
659 citations

Imperial College London
London, United Kingdom
9 h-index
12 publications
792 citations
Columbia University
New York, United States
8 h-index
11 publications
2.2K citations
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11 publications · 1.7K citations
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10 publications · 663 citations
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9 publications · 494 citations
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9 publications · 279 citations
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8 publications · 1.2K citations
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