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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| Main Authors: | , , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
H. : ĐHQGHN
2017
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| 主題: | |
| 在線閱讀: | http://repository.vnu.edu.vn/handle/VNU_123/57461 |
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| 機構: | Vietnam National University, Hanoi |
| 語言: | English |
| 總結: | 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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