Markov Chains, Markov Process, Python, Discrete Time Markov, Probability.
two time steps starting from state 1. These probabilities have factored in all possible ways of going from state 1 to state 1 (or state 1 to state 2, and so on) that are 2 steps long. The state probability distribution We could continue multiplying P with itself forever to see how the n-step