Markov Chains, Markov Process, Python, Discrete Time Markov, Probability.
probabilities constitute what is known as the state probability distribution of the Markov variable X_t at time t and it is denoted by π_t, (or δ_t). For example, for the 2-state Markov process consisting of states +1 and -1, the state distribution is given as follows: The state probability