Understanding Markov Chains: Examples and Applications
44,78 €
It also discusses classical topics such as recurrence and transience,�stationary and limiting distributions, as well as branching processes. It first examines in detail two important examples (gambling processes and random walks) before presenting the general theory itself in the subsequent chapters.
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