Markov-dependent events

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• Markov chain — A simple two state Markov chain. A Markov chain, named for Andrey Markov, is a mathematical system that undergoes transitions from one state to another, between a finite or countable number of possible states. It is a random process characterized …   Wikipedia

• Markov, Andrey Andreyevich — ▪ Russian mathematician born June 14, 1856, Ryazan, Russia died July 20, 1922, Petrograd [now St. Petersburg]       Russian mathematician who helped to develop the theory of stochastic processes (stochastic process), especially those called… …   Universalium

• Markov process — Statistics. a process in which future values of a random variable are statistically determined by present events and dependent only on the event immediately preceding. Also, Markoff process. [1935 40; after Russian mathematician Andrei Andreevich …   Universalium

• Markov process — noun a simple stochastic process in which the distribution of future states depends only on the present state and not on how it arrived in the present state • Syn: ↑Markoff process • Hypernyms: ↑stochastic process • Hyponyms: ↑Markov chain,… …   Useful english dictionary

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• Entropy (information theory) — In information theory, entropy is a measure of the uncertainty associated with a random variable. The term by itself in this context usually refers to the Shannon entropy, which quantifies, in the sense of an expected value, the information… …   Wikipedia

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