Hands-On Markov Models with Python
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Properties of Markov chains

In this section, we will talk about the different properties of Markov chains, namely reducibility, periodicity, transience and recurrence, ergodicity, and steady-state analysis and limiting distributions. We will also try some simple examples of our MarkovChain class to show these properties.