We propose a new Monte Carlo estimator to solve systems of linear equations. We formulate and prove some results concerning the quality and the properties of this estimator. Using this estimator, we give error bounds and construct confidence intervals for the components of the solution. We also consider numerical examples. The numerical results indicate that the proposed estimator converges faster than another two estimators from the literature.
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