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What is Markov Analysis in Population Dynamics about?

This document describes Markov processes and provides examples of how they can be used. Some key points: 1. A Markov process is one where the probability of transitioning between states depends only on the current state, not on the sequence of events that preceded it. 2. Markov processes can model phenomena with a finite number of possible states where the transition probabilities remain constant over time. 3. Examples of Markov process applications include modeling population migration patterns, brand

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anon_638624

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EN