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・ Markov chain Monte Carlo
・ Markov chains on a measurable state space
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・ Markov information source
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・ Markov logic network
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・ Markov number
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Markov reward model
・ Markov Reward Model Checker
・ Markov spectrum
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・ Markov switching multifractal
・ Markov tree
・ Markov's inequality
・ Markov's principle
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・ Markova Sušica
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・ Markovac (Vršac)
・ Markovac Križevački


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Markov reward model : ウィキペディア英語版
Markov reward model
In probability theory, a Markov reward model or Markov reward process is a stochastic process which extends either a Markov chain or continuous-time Markov chain by adding a reward rate to each state. An additional variable records the reward accumulated up to the current time. Features of interest in the model include expected reward at a given time and expected time to accumulate a given reward. The model appears in Ronald A. Howard's book. The models are often studied in the context of Markov decision processes where a decision strategy can impact the rewards received.
The Markov Reward Model Checker tool can be used to numerically compute transient and stationary properties of Markov reward models.
==Markov chain==


抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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