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What is Markov Chains: Concepts and Probabilities about?

The document discusses Markov chains, which are discrete-time stochastic processes with the Markov property. Key points: - Markov chains are characterized by single-step transition probabilities between states. These are represented by the stochastic transition matrix P. - The n-step transition probability matrix Pn gives the probabilities of moving between states in n steps. It can be calculated from P using the Chapman-Kolmogorov equation. - The unconditional state probability vector π(n) gives the pr

Author

dark689

Language

EN