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Questions tagged [markov-process]

A stochastic process satisfying the Markov property: the distribution of the future states given the value of the current state does not depend on the past states. Use this tag for general state space processes (both discrete and continuous times); use (markov-chains) for countable state space processes.

A Markov process is a stochastic process satisfying the Markov property: the distribution of the future states given the value of the current state does not depend on the past states. This tag is used for general state space processes both in discrete and continuous time, for countable state spaces use .

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Markov Process question

There are two tennis courts. Pairs of players arrive at a rate of 3 per hour and play for an exponentially distributed amount of time with mean 1 hour. If there are already two pairs of players waiting, new arrivals will leave. Find the stationary…
Sarah Fisher
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Markov Property and its meaning/allusion

Starting Markov processes so I'm kind of new to this; I would like someone to explain the property please. I was given that Definition: A Markov process has $$\mathbb{P}\left(X(t_n)\leq x_n |X(t_1)=x_1,X(t_2)=x_2,\ldots,X(t_{n-1})=x_{n-1}\right)\\ =…
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