Markov process

n.

1.

(Statistics) a random process in which the probabilities of states in a series depend only on the properties of the immediately preceding state or the next preceeding state, independent of the path by which the preceding state was reached. It is distinguished from a Markov chain in that the states of a Markov process may be continuous as well as discrete.

Noun

1.

Markov process - a simple stochastic process in which the distribution of future states depends only on the present state and not on how it arrived in the present state Synonyms: Markoff process

(probability, simulation)

Markov process - A process in which the sequence of events can be described by a Markov chain.

Markoff chain, Markoff process, Markov chain, stochastic process