摘要

In this paper, we provide the almost-sure convergence and the asymptotic normality of a smooth version of the Robbins-Monro algorithm for the quantile estimation. A Monte Carlo simulation study shows that our proposed method works well within the framework of a data stream.

  • 出版日期2014-10

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