Why the Monte Carlo method is so important today

@article{Kroese2014WhyTM,
  title={Why the Monte Carlo method is so important today},
  author={Dirk P. Kroese and T. Brereton and T. Taimre and Z. Botev},
  journal={Wiley Interdisciplinary Reviews: Computational Statistics},
  year={2014},
  volume={6},
  pages={386-392}
}
  • Dirk P. Kroese, T. Brereton, +1 author Z. Botev
  • Published 2014
  • Computer Science
  • Wiley Interdisciplinary Reviews: Computational Statistics
  • 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. WIREs Comput Stat 2014, 6:386-392. doi… CONTINUE READING
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    References

    SHOWING 1-10 OF 64 REFERENCES
    Monte Carlo methods
    • 817
    • PDF
    Handbook of Monte Carlo Methods
    • 619
    • PDF
    Monte Carlo strategies in scientific computing
    • 2,171
    Simulation and the Monte Carlo method
    • R. Rubinstein
    • Computer Science, Mathematics
    • Wiley series in probability and mathematical statistics
    • 1981
    • 2,293
    THE BEGINNING of the MONTE CARLO METHOD
    • 465
    • PDF
    Monte Carlo and quasi-Monte Carlo methods
    • 1,165
    • PDF
    Multilevel Monte Carlo Path Simulation
    • M. Giles
    • Mathematics, Computer Science
    • Oper. Res.
    • 2008
    • 1,067
    • PDF
    Fast Sequential Monte Carlo Methods for Counting and Optimization
    • 36
    • PDF
    Nonuniversal critical dynamics in Monte Carlo simulations.
    • 2,036