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What is Understanding Markov Chains and Processes about?

The document provides an overview of Markov Chains, defining them as stochastic processes that transition between states with certain probabilities. It covers key concepts such as the Chapman-Kolmogorov equations, classification of states, and the distinction between recurrent and transient states, along with practical examples. The document is structured to facilitate understanding of how Markov Chains operate and their applications in various scenarios.

Author

Phạm Nguyễn Đan Trường

Language

EN