Markov chain - Wikipedia
网页A Markov chain or Markov process is a stochastic process describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event.
Andrey Markov - Wikipedia
网页Andrey Andreyevich Markov[a] (14 June 1856 – 20 July 1922) was a Russian mathematician best known for his work on stochastic processes. A primary subject of his research later became known as the Markov chain. He was also a strong, close to master-level, chess player.
Markov model - Wikipedia
网页The simplest Markov model is the Markov chain. It models the state of a system with a random variable that changes through time. In this context, the Markov property indicates that the distribution for this variable depends only on the distribution of a previous state.
10.1: Introduction to Markov Chains - Mathematics LibreTexts
网页2022年7月18日 · Such a process or experiment is called a Markov Chain or Markov process. The process was first studied by a Russian mathematician named Andrei A. Markov in the early 1900s. About 600 cities worldwide have bike share programs.
Markov Chains | Brilliant Math & Science Wiki
网页A Markov chain is a mathematical system that experiences transitions from one state to another according to certain probabilistic rules. The defining characteristic of a Markov chain is that no matter how the process arrived at its present state, the possible future states are fixed.
16.1: Introduction to Markov Processes - Statistics LibreTexts
网页2022年4月23日 · A Markov process is a random process indexed by time, and with the property that the future is independent of the past, given the present. Markov processes, named for Andrei Markov, are among the most important of all random processes.
Markov Analysis: What It Is, Uses, and Value - Investopedia
网页2021年2月14日 · Markov analysis is a method used to forecast the value of a variable whose predicted value is influenced only by its current state, and not by any prior activity.
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