Monte Carlo variance reduction techniques have become indispensable in radiation transport simulations, where the challenge of obtaining statistically significant results in deep-penetration problems ...
This paper introduces a new variance reduction technique for diffusion processes where a control variate is constructed using a quantization of the coefficients of the Karhunen-Loève decomposition of ...
In this article we present a variance-reduction technique for Monte Carlo methods. By an elementary version of the Girsanov theorem, we introduce a drift term into the computation of a security's ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Somer G. Anderson is CPA, doctor of ...
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