English Dictionary

Markov process

名詞

(probability theory) Any stochastic process for which the conditional probability distribution of future states depends only on the current state (and not on past states).

日本語の意味

マルコフ過程：現在の状態のみに依存して未来の状態の条件付き確率分布が決まる確率過程。 / 過去の状態に依存せず、現在の状態のみで将来の統計的振る舞いが決定される確率論のモデル。

In many queueing models, the queue length evolves as a Markov process whose future distribution depends only on the current number of customers.

多くの待ち行列モデルでは、待ち行列の長さはマルコフ過程として変化し、その将来の分布は現在の顧客数のみに依存します。

意味（1）

(probability theory) Any stochastic process for which the conditional probability distribution of future states depends only on the current state (and not on past states).

It has been remarked in 1 that a Markov process with time reversal is again a Markov process.

Markov processes （ plural ）