边界和近似马尔可夫模型

A. Laemmel, M. Shooman
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引用次数: 6

摘要

通过对马尔可夫概率矩阵中的项进行检查,得到了马尔可夫状态概率的上界和下界的简单表达式。这些边界可用于快速的纸笔估算和计算器估算。在可靠性和可维护性评估的几个实例中,还将边界与合并和分解方法相结合。使用这些边界可以通过快速获得状态概率的上界来帮助实现众所周知的截断简化技术(删除低概率状态),从而确保只有低概率状态被截断
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bounding and approximating Markov models
Simple expressions are developed for upper and lower bounds on the Markov state probabilities obtained from inspection of the terms in the Markov probability matrix. These bounds can be used for quick paper-and-pencil and calculator estimates. The bounds are also combined with the merging and decomposition methods in several examples of reliability and maintainability assessment. Use of these bounds can aid the well-known simplification technique of truncation (deleting the low probability states) by quickly obtaining upper bounds on the state probabilities, which ensures that only low-probability states are truncated.<>
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