Antithetic Variates
Antithetic Variates is a variance reduction technique in Monte Carlo simulation that belongs to the class of sampling methods by introducing negatively correlated (antithetic) pairs of random variables to reduce estimator variance through systematic balancing of sample paths.
77
Publications
4.8K
Citations
105
Authors
78
Institutions
Publications per year
2017–2026
4
Parents
77
J. Durbin, Siem Jan Koopman · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2000 · 387 citations · Full text
Computing, Data Science, Statistics +16
Faster Valuation of Financial Derivatives
Spassimir H. Paskov, J. F. Traub · The Journal of Portfolio Management · 1995 · 370 citations
Computing, Computer Science, Finance +14
Bivariate Distributions with Given Marginals
Ward Whitt · The Annals of Statistics · 1976 · 239 citations · Full text
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University of North Carolina at Chapel Hill, United States
3 publications · 88 citations
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3
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1–5 of 105
78
North Carolina State University
Raleigh, United States
4 h-index
4 publications
249 citations

University of Saskatchewan
Saskatoon, Canada
3 h-index
6 publications
636 citations
University of Guilan
Rasht, Iran
3 h-index
5 publications
81 citations
University of California, Berkeley
Berkeley, United States
3 h-index
3 publications
49 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
4 publications
142 citations
Columbia University
New York, United States
3 h-index
3 publications
212 citations

Cairo University
Giza, Egypt
3 h-index
3 publications
104 citations
University of Arizona
Tucson, United States
2 h-index
2 publications
44 citations
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6 publications · 295 citations
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4 publications · 128 citations
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4 publications · 366 citations
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3 publications · 78 citations
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JSCS · 3 publications · 54 citations
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