Stochastic Processes and Markov Chain
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2016
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Advisor: Nidai Şemi
Abstract (EN)
Andrey Andreyevich Markov is the founder of the Markov Chain. The Markov Chain is a stochastic process involving modeling over time and space. In sciences or randomize sciences in particular, it is usually important to predict an outcome based on the acquired or previous knowledge of a process. There exits various random processes. The Markov Chain appears as a key technique to deal and model such processes. Keywords: Stochastic Matrix, Probability Vector, Markov Chain.
Author
Jean Martin Houag
How to Cite
Jean Martin Houag (Master Thesis). Stochastic Processes and Markov Chain, 2016, Eastern Mediterranean University, Department of Mathematics.
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