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・ 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
・ Markov decision process
・ 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
・ Markov spectrum
・ Markov strategy
・ Markov switching multifractal
・ Markov tree


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Markov model : ウィキペディア英語版
Markov model

In probability theory, a Markov model is a stochastic model used to model randomly changing systems where it is assumed that future states depend only on the present state and not on the sequence of events that preceded it (that is, it assumes the Markov property). Generally, this assumption enables reasoning and computation with the model that would otherwise be intractable.
==Introduction==
There are four common Markov models used in different situations, depending on whether every sequential state is observable or not, and whether the system is to be adjusted on the basis of observations made:

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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