Markov Chains, Markov Process, Python, Discrete Time Markov, Probability.
source state i at time t, at (t+1), it has to be in one of the allowed set of states (1,2,3,…,n). Thus, we can restate the transition matrix of a 2-state Markov process as follows: The state transition matrix P of a 2-state Markov process (Image by Author) Introducing the Markov distributed random