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Lecture
Variance Reduction: Strategies and Applications
Description
This lecture covers the concept of variance reduction in stochastic simulation, discussing techniques such as stratification and conditional sampling. The instructor explains how to choose optimal allocation strategies and presents algorithms for generating replicas to estimate variance. The lecture emphasizes the importance of alternative choices in proportional allocation methods and provides examples to illustrate the concepts.
Official source
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