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・ Markounda
・ Markout, Texas
・ Markov
・ Markov (crater)
・ Markov additive process
・ Markov algorithm
・ Markov blanket
・ Markov brothers' inequality
・ Markov chain
・ Markov chain approximation method
・ Markov chain geostatistics
・ Markov chain mixing time
・ Markov chain Monte Carlo
・ Markov chains on a measurable state space
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Markov information source
・ Markov kernel
・ Markov logic network
・ Markov model
・ Markov number
・ Markov partition
・ Markov perfect equilibrium
・ Markov process
・ Markov Processes International
・ Markov property
・ Markov random field
・ Markov renewal process
・ Markov reward model
・ Markov Reward Model Checker
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Markov information source : ウィキペディア英語版
Markov information source
In mathematics, a Markov information source, or simply, a Markov source, is an information source whose underlying dynamics are given by a stationary finite Markov chain.
==Formal definition==
An information source is a sequence of random variables ranging over a finite alphabet Γ, having a stationary distribution.
A Markov information source is then a (stationary) Markov chain ''M'', together with a function
:f:S\to \Gamma
that maps states ''S'' in the Markov chain to letters in the alphabet Γ.
A unifilar Markov source is a Markov source for which the values f(s_k) are distinct whenever each of the states s_k are reachable, in one step, from a common prior state. Unifilar sources are notable in that many of their properties are far more easily analyzed, as compared to the general case.

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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