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Enhancement of Markov Chain Model by Integrating Exponential Smoothing: A Case Study on Muslims Marriage and Divorce

机译:通过整合指数平滑,提高马尔可夫链模型 - 以穆斯林婚姻与离婚为例

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Markov Chain has been introduced since the 1913 for the purpose of studying the flow of data for a consecutive number of years of the data and also forecasting. The important feature in Markov Chain is obtaining the accurate Transition Probability Matrix (TPM). However to obtain the suitable TPM is hard especially in involving long-term modeling due to unavailability of data. This paper aims to enhance the classical Markov Chain by introducing Exponential Smoothing technique in developing the appropriate TPM.
机译:自1913年以来,马尔可夫链已经介绍,目的是研究以往的数据数量的数据流量以及预测。马尔可夫链中的重要特征是获得精确的转换概率矩阵(TPM)。然而,为了获得合适的TPM,尤其是由于数据不可用而涉及长期建模。本文旨在通过在开发适当的TPM方面引入指数平滑技术来增强古典马尔可夫链。

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