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Generating Stochastic Processes Based on the Finitary Interval Algorithm

机译:基于有限区间算法的随机过程生成

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We point out that the interval algorithm can be expressed in the form of a shift on the sequence space. Then we clarify that, by using a Bernoulli process, the interval algorithm can generate only a block of Markov chains or a sequence of independent blocks of Markov chains but not a stationary Markov process. By virtue of the finitary coding constructed by Hamachi and Keane, we obtain the procedure, called the finitary interval algorithm, to generate a Markov process by using the interval algorithm. The finitary interval algorithm also gives maps, defined almost everywhere, which transform a Markov measure to a Bernoulli measure.
机译:我们指出,间隔算法可以在序列空间上以移位的形式表示。然后我们说明,通过使用伯努利过程,区间算法只能生成一个马尔可夫链块或一系列独立的马尔可夫链块,而不能生成平稳的马尔可夫过程。借助于Hamachi和Keane构造的最终编码,我们获得了称为最终间隔算法的过程,以使用间隔算法生成马尔可夫过程。最终间隔算法还提供了几乎在各处定义的地图,这些地图将马尔可夫测度转换为伯努利测度。

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