Journal
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS
Volume 6, Issue 6, Pages 386-392Publisher
WILEY
DOI: 10.1002/wics.1314
Keywords
Monte Carlo method; simulation; MCMC; estimation; randomized optimization
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Since the beginning of electronic computing, people have been interested in carrying out random experiments on a computer. Such Monte Carlo techniques are now an essential ingredient in many quantitative investigations. Why is the Monte Carlo method (MCM) so important today? This article explores the reasons why the MCM has evolved from a 'last resort' solution to a leading methodology that permeates much of contemporary science, finance, and engineering. (C) 2014 Wiley Periodicals, Inc.
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