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).
Markov Process
See also
Doob's TheoremExplore with Wolfram|Alpha
References
Bharucha-Reid, A. T. Elements of the Theory of Markov Processes and Their Applications. New York: McGraw-Hill, 1960.Papoulis, A. "Brownian Movement and Markoff Processes." Ch. 15 in Probability, Random Variables, and Stochastic Processes, 2nd ed. New York: McGraw-Hill, pp. 515-553, 1984.Referenced on Wolfram|Alpha
Markov ProcessCite this as:
Weisstein, Eric W. "Markov Process." From MathWorld--A Wolfram Web Resource. https://mathworld.wolfram.com/MarkovProcess.html