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What is Understanding Markov Chains about?

This document discusses Markov chains and some of their key properties: 1) Markov chains allow dependence between random variables at different times, with the assumption that variables are conditionally independent given the previous variable. 2) The Markov assumption states that the future is independent of the past given the present. 3) A Markov chain can be represented by a state transition graph or transition probability matrix. 4) States can be classified as recurrent, meaning they will almost

Author

HaydenChadwick

Language

EN