Deeper Inside Finite-state Markov chains
The effective application of Markov chains has been paid much attention, and it has raised a lot of thcoretical and applied problems. In this paper, we would like to approach One of these problems which is finding the long-run behavior of extremely huge-state Markov chains according to the direc...
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oai:112.137.131.14:VNU_123-574612018-08-08T07:47:47Z Deeper Inside Finite-state Markov chains Le, Trung Kien Le, Trung Hieu Tran, Loc Hung Nguyen, Duy Tien Markov Finite-state The effective application of Markov chains has been paid much attention, and it has raised a lot of thcoretical and applied problems. In this paper, we would like to approach One of these problems which is finding the long-run behavior of extremely huge-state Markov chains according to the direction of investigating the structure of Markov Graph to reduce complexity of computation. We focus on the way to access to the finite-state Markov chain theory via Graph theory. We suggested some basic knowledge about state classification and a small project of modelling the structure and the moving process of the finite-state Markov chain model. This project based on the remark that it is impossible to study deeperly the finite-state Markov Chain theory if we do not have the clear sense about the structure and the movement of it. 2017-08-18T03:50:26Z 2017-08-18T03:50:26Z 2007 Article Le, T. K., Le, T. H., Tran, L. H., Nguyen, D. T. (2007). Deeper Inside Finite-state Markov chains. VNU Joumal of Science, Mathematics - Physics, Vol. 23, No. 2 (2007), 76-83. 2588-1124 http://repository.vnu.edu.vn/handle/VNU_123/57461 en VNU Joumal of Science application/pdf H. : ĐHQGHN |
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Markov Finite-state Le, Trung Kien Le, Trung Hieu Tran, Loc Hung Nguyen, Duy Tien Deeper Inside Finite-state Markov chains |
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The effective application of Markov chains has been paid much attention, and it has raised a lot of thcoretical and applied problems. In this paper, we would like to approach One of these problems which is finding the long-run behavior of extremely huge-state Markov chains
according to the direction of investigating the structure of Markov Graph
to reduce complexity of computation. We focus on the way to access to the finite-state Markov chain theory via Graph theory. We suggested some basic knowledge about state classification and a small project of modelling the structure and the moving process of the finite-state Markov chain model. This project based on the remark that it is impossible to study deeperly the finite-state Markov Chain theory if we do not have the clear sense about the structure and the movement of it. |
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Article |
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Le, Trung Kien Le, Trung Hieu Tran, Loc Hung Nguyen, Duy Tien |
author_facet |
Le, Trung Kien Le, Trung Hieu Tran, Loc Hung Nguyen, Duy Tien |
author_sort |
Le, Trung Kien |
title |
Deeper Inside Finite-state Markov chains |
title_short |
Deeper Inside Finite-state Markov chains |
title_full |
Deeper Inside Finite-state Markov chains |
title_fullStr |
Deeper Inside Finite-state Markov chains |
title_full_unstemmed |
Deeper Inside Finite-state Markov chains |
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deeper inside finite-state markov chains |
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H. : ĐHQGHN |
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2017 |
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http://repository.vnu.edu.vn/handle/VNU_123/57461 |
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1680966432858308608 |