Monte Carlo Analysis is a computational technique that belongs to the class of numerical methods relying on repeated random sampling to approximate the probability distribution of an output variable, distinguished by its use of stochastic simulation to analyze the behavior and performance of systems under uncertainty.
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N. Metropolis, Stanislaw M. Ulam · Journal of the American Statistical Association · 1949 · 6.1K citations
Monte Carlo Statistical Methods
Hoon Kim, Christian P. Robert, George Casella · Technometrics · 2000 · 5.6K citations
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Centre National de la Recherche Scientifique
Paris, France
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349 publications
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Stanford University
Stanford, United States
33 h-index
112 publications
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Cornell University
Ithaca, United States
32 h-index
84 publications
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Los Alamos National Laboratory
Los Alamos, United States
30 h-index
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University of California, Berkeley
Berkeley, United States
28 h-index
112 publications
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European Organization for Nuclear Research
Geneva, Switzerland
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Carnegie Mellon University
Pittsburgh, United States
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60 publications · 18K citations
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PRL · 39 publications · 9.6K citations
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35 publications · 3.2K citations
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39 publications · 32.9K citations
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47 publications · 4.4K citations
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