noun
Markov process
A stochastic process where future states depend only on the present state, not on the past history. Used in probability theory, statistics, and related fields.
マルコフ過程は、次の状態が現在の状態のみに依存する確率過程です。
A Markov process is a stochastic process where the next state depends only on the current state.
マルコフ連鎖 (Markov chain) is a discrete-time Markov process with a countable state space, while マルコフ過程 is the broader continuous-time or general state-space version.
Named after the Russian mathematician Andrey Markov. The term is a direct borrowing from English 'Markov process'.