Concept information
Preferred term
Markov process
Definition
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A Markov chain or Markov process is a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event. Informally, this may be thought of as, "What happens next depends only on the state of affairs now." A countably infinite sequence, in which the chain moves state at discrete time steps, gives a discrete-time Markov chain (DTMC). A continuous-time process is called a continuous-time Markov chain (CTMC). It is named after the Russian mathematician Andrey Markov.
(Wikipedia, The Free Encyclopedia, https://en.wikipedia.org/wiki/Markov_chain)
Broader concept
Narrower concepts
Entry terms
- Markov chain
In other languages
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French
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chaîne de Markov
URI
http://data.loterre.fr/ark:/67375/PSR-KQDNC91K-9
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