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Vector estimators of the Monte Carlo method with a finite variance

  • N. Medvedev
Veröffentlicht/Copyright: 1. Juni 2013

Abstract

In this paper we study problems related to the finiteness of the variance of weighted Monte Carlo estimators for solving a system of second-kind integral equations. Modifications of the finiteness criterion for the variance of a weighted scalar estimator are based on the construction of an appropriate system of linear integral equations with ‘majorant’ kernels. A majorant criterion of the finiteness of a vector weighted estimator is given. This criterion uses a comparison of the estimator with a scalar estimator obtained by the method of randomization. It is shown that for the corresponding randomized algorithm the variance of the scalar estimator and the mean simulation time for a single trajectory are bounded if the original solution is bounded. The ability to use branching to construct a vector estimator of the solution to a system of integral equations is also studied.

Published Online: 2013-06-01
Published in Print: 2013-06

© 2013 by Walter de Gruyter GmbH & Co.

Heruntergeladen am 8.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/rnam-2013-0014/html
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