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Focusing on finite Markov chains, this book provides a comprehensive introduction to their transition probabilities, matrices, and graphical representations. It classifies state spaces, explores absorbing Markov chains and their probabilities, and discusses stationary and quasi-stationary distributions. Practical applications are also included, making it a valuable resource for undergraduate courses and researchers in statistics, stochastic processes, and related fields. The content is designed to enhance understanding and knowledge of this specific type of Markov process.
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Introduction to Finite Markov Chains, Basel M. Al-Eideh
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- Pubblicato
- 2019
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