A stationary distribution is a probability distribution over the states of a stochastic process that remains unchanged as time progresses. It characterizes the long-term behavior of the system, showing the proportion of time the process spends in each state when it reaches equilibrium. This concept is essential for understanding Markov chains and regenerative processes, as it allows for the analysis of the system's stability and long-term trends.
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