Markov property means “absence of memory” of a random process – that is, independence of conditional probabilities 
on values U(t2 < t). In simpler words, this property means that future behavior depends only on the current state, but not on the state(s) in the past. See also Markov Chain.
Statistics and data science, defined
Markov Property (Graphical)
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Where this gets used
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