Monte Carlo Estimation
Monte Carlo Estimation is a parameter estimation method that belongs to the class of numerical techniques relying on random sampling, distinguished by its use of repeated stochastic simulations to approximate unknown parameters through the law of large numbers.
3.4K
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Publications per year
2017–2026
468
Parents
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Monte Carlo sampling methods using Markov chains and their applications
W. Keith Hastings · Biometrika · 1970 · 15.2K citations
<tt>emcee</tt>: The MCMC Hammer
Publications of the Astronomical Society of the Pacific · 2013 · 11.9K citations · Full text
Computing, Computer Science, Physics +14
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University of North Carolina at Chapel Hill, United States
13 publications · 865 citations
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Stanford University
Stanford, United States
36 h-index
99 publications
13.7K citations
University of Oxford
Oxford, United Kingdom
25 h-index
52 publications
6.3K citations

Centre National de la Recherche Scientifique
Paris, France
25 h-index
89 publications
5.4K citations
North Carolina State University
Raleigh, United States
23 h-index
43 publications
1.9K citations
University of Cambridge
Cambridge, United Kingdom
22 h-index
46 publications
5.3K citations
University of Wisconsin–Madison
Madison, United States
22 h-index
49 publications
3.2K citations
Purdue University West Lafayette
West Lafayette, United States
22 h-index
59 publications
3.2K citations
University of California, Berkeley
Berkeley, United States
22 h-index
42 publications
2.8K citations
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139 publications · 38.3K citations
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75 publications · 33.2K citations
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39 publications · 3.3K citations
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41 publications · 22.9K citations
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Repository · 65 publications · 2.7K citations
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