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Optimal Multiple Stopping with Random Waiting Times

机译:随机等待时间的最优多次停车

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In the standard models for optimal multiple stopping problems it is assumed that between two exercises there is always a time period of deterministic length δ, the so-called refraction period. This prevents the optimal exercise times from bunching up together on top of the optimal stopping time for the one-exercise case. In this article we generalize the standard model by considering random refraction times. We develop the theory and reduce the problem to a sequence of ordinary stopping problems, thus extending the results for deterministic times. This requires an extension of the underlying filtrations in general. Furthermore, we consider the Markovian case and treat an example explicitly.
机译:在最佳多次停车问题的标准模型中,假设两次练习之间始终存在确定长度δ的时间段,即所谓的折射时间段。这样可以防止最佳运动时间在一次运动情况下的最佳停止时间之上聚集在一起。在本文中,我们通过考虑随机折射时间来推广标准模型。我们发展了理论,并将问题简化为一系列普通的停止问题,从而将结果扩展了确定的时间。通常,这需要扩展基础过滤。此外,我们考虑马尔可夫问题,并明确地举例说明。

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