Notes on optimal approximations for importance sampling

Abstract

In this manuscript, we derive optimal conditions for building function approximations that minimize variance when used as importance sampling estimators for Monte Carlo integration problems. Particularly, we study the problem of finding the optimal projection g of an integrand f onto certain classes of piecewise constant functions, in order to minimize the… (More)

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