Markov Chains, Data Science.
states. To get a firm understanding of steady states, we need to solve the vector of probabilities, π, such that moving the chain forward by one iteration from π keeps the probability at π. In discrete time Markov Chains, a steady state is achieved when the distribution of probabilities across