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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Continuous-Time Markov Process

Continuous-Time Markov Process

Miller, Frederic P.
Vandome, Agnes F.
McBrewster, John

Paperback

Probability & Statistics

Currently unavailable to order

ISBN10: 6133808861
ISBN13: 9786133808867
Publisher: Alphascript Pub
Pages: 92
Weight: 0.32
Height: 0.22 Width: 5.98 Depth: 9.02
Language: English
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory, a continuous-time Markov process is a stochastic process { X(t): t 0 } that satisfies the Markov property and takes values from a set called the state space; it is the continuous-time version of a Markov chain. The Markov property states that at any times s > t > 0, the conditional probability distribution of the process at time s given the whole history of the process up to and including time t, depends only on the state of the process at time t. In effect, the state of the process at time s is conditionally independent of the history of the process before time t, given the state of the process at time t.

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