A stationary distribution is an equilibrium state that a Markov Chain tends to converge to over time. It represents a steady-state distribution where the probability of being in each state remains constant.
A stationary distribution is an equilibrium state that a Markov Chain tends to converge to over time. It represents a steady-state distribution where the probability of being in each state remains constant.