Markov process

Noun

Meaning

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

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Examples

FTA: "It is natural to conjecture that the Markov process built in this way describes the Glauber dynamic of 33-dimensional ferromagnets near their critical temperature." Source: Internet

The value of T must be chosen according to different factors such as the proposal distribution and, formally, it has to be of the order of the autocorrelation time of the Markov process. Source: Internet

The Metropolis–Hastings algorithm involves designing a Markov process (by constructing transition probabilities) which fulfils the two above conditions, such that its stationary distribution π(x) is chosen to be P(x). Source: Internet

However, once we know the exactly initial conditions and the Markov process, the theory is in fact a realistic interpretation of quantum mechanics. Source: Internet

Moreover, to know the motion of the particles at any moment, you have to know what the Markov process is. Source: Internet

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