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Importance sampling is a technique that is commonly used to speed up Monte Carlo simulation of rare events. The standard approach, which simulates the system using an a priori fixed change of measure, has been shown to fail in even the simplest network settings. Estimating probabilities associated with rare events has been a topic of great importance in queuing theory, and in applied probability at...
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