Hidden Markov Model with Markovian emission

IF 0.8 Q3 STATISTICS & PROBABILITY Monte Carlo Methods and Applications Pub Date : 2020-08-11 DOI:10.1515/mcma-2020-2072
Karima Elkimakh, A. Nasroallah
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Abstract

Abstract In our paper [A. Nasroallah and K. Elkimakh, HMM with emission process resulting from a special combination of independent Markovian emissions, Monte Carlo Methods Appl. 23 2017, 4, 287–306] we have studied, in a first scenario, the three fundamental hidden Markov problems assuming that, given the hidden process, the observed one selects emissions from a combination of independent Markov chains evolving at the same time. Here, we propose to conduct the same study with a second scenario assuming that given the hidden process, the emission process selects emissions from a combination of independent Markov chain evolving according to their own clock. Three basic numerical examples are studied to show the proper functioning of the iterative algorithm adapted to the proposed model.
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具有马尔可夫发射的隐马尔可夫模型
摘要在我们的论文[A.A.Nasroallah和K.Elkimakh,具有独立马尔可夫排放的特殊组合产生的排放过程的HMM,蒙特卡罗方法应用。23 2017,4287–306]中,我们在第一种情况下研究了三个基本的隐马尔可夫问题,假设在给定隐过程的情况下,观察到的一个从同时进化的独立马尔可夫链的组合中选择排放。在这里,我们建议对第二种情况进行同样的研究,假设给定隐藏过程,排放过程从根据自身时钟进化的独立马尔可夫链的组合中选择排放。研究了三个基本的数值例子,以表明适用于所提出模型的迭代算法的正确功能。
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来源期刊
Monte Carlo Methods and Applications
Monte Carlo Methods and Applications STATISTICS & PROBABILITY-
CiteScore
1.20
自引率
22.20%
发文量
31
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