A random process whose future probabilities are determined by its most recent values. A stochastic process is called Markov if for every and , we have
This is equivalent to
(Papoulis 1984, p. 535).
A random process whose future probabilities are determined by its most recent values. A stochastic process is called Markov if for every and , we have
This is equivalent to
(Papoulis 1984, p. 535).
Weisstein, Eric W. "Markov Process." From MathWorld--A Wolfram Web Resource. https://mathworld.wolfram.com/MarkovProcess.html