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Closed-from stochastic bounds on the statinary distribution of markov chains

机译:马氏链平稳分布上的封闭随机界

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摘要

We propose a particular class of transition probability matrices for discrete-time Markov chain s with a closed form to compute the stationary distribution. The sto- Chastic monotonicity properties of this class are established. We give algorithms to Construct monotone, bounding matrices belonging to the proposed class for the Variability orders. The accuracy of bounds with respect to the underlying matrix Structure is discussed through an example.
机译:我们为具有离散形式的离散时间马尔可夫链提出了一种特殊的转移概率矩阵,以计算平稳分布。建立了此类的随机单调性。我们给出了构造单调的算法,该算法属于可变订单的拟议类别。通过示例讨论了相对于基础矩阵结构的边界的准确性。

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