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A SINGLE SAMPLE PATH-BASED PERFORMANCE SENSITIVITY FORMULA FOR MARKOV CHAINS

机译:马氏链的基于单样本路径的性能灵敏度公式

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With a sample path approach, a new formula is derived for performance sensitivities of discrete-time Markov chains. A distinguished feature of this formula is that the quantities involved can be estimated by analyzing a single sample path of a Markov chain. Thus, the formula creates a new direction for sensitivity analysis and can be viewed as an extension of the perturbation realization theory.
机译:利用样本路径方法,导出了针对离散时间马尔可夫链的性能敏感性的新公式。该公式的显着特征是可以通过分析马尔可夫链的单个样本路径来估计所涉及的数量。因此,该公式为灵敏度分析创造了新的方向,并且可以看作是扰动实现理论的扩展。

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