Markov Chain
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A Markov chain, named after Andrey Markov, is a mathematical system that undergoes transitions from one state to another, between a finite or countable number of possible states. It is a stochastic process|random process usually characterized as Memorylessness|memoryless: the next state depends only on the current state and not on the sequence of events that preceded it. This specific kind of memorylessness is called the Markov_process#Markov_property|Markov property. Markov chains have many applications as statistical modeling|statistical models of real-world processes.
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