Approximating martingales for variance reduction in Markov process simulation

Approximating martingales for variance reduction in Markov process simulation

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Article ID: iaor2004425
Country: United States
Volume: 27
Issue: 2
Start Page Number: 253
End Page Number: 271
Publication Date: May 2002
Journal: Mathematics of Operations Research
Authors: ,
Abstract:

‘Knowledge of either analytical or numerical approximations should enable more efficient simulation estimators to be constructed.’ This principle seems intuitively plausible and certainly attractive, yet no completely satisfactory general methodology has been developed to exploit it. The authors present a new approach for obtaining variance reduction in Markov process simulation that is applicable to a vast array of different performance measures. The approach relies on the construction of a martingale that is then used as an internal control variate.

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