On the optimality of the Monte-Carlo estimator

Abstract

We prove that on an atomless probability space, the worst-case mean squared error of the Monte-Carlo estimator is minimal if the random points are chosen independently.

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References in corpus (1)

• The exact convergence rate in the ergodic theorem of Lubotzky Phillips Sarnak