Markov Chains, Markov Process, Python, Discrete Time Markov, Probability.
times to get the t-step transition probabilities, and multiply the t-step transition probabilities with the unconditional probability distribution π_0 at t=0. Notice the following two things about the above equation: The state probability distribution of a Markov process at time t depends on: The