- Markov-chain model
- Контроль качества: модель марковской цепи
Универсальный англо-русский словарь. Академик.ру. 2011.
Markov-chain model
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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 chain Monte Carlo — MCMC redirects here. For the organization, see Malaysian Communications and Multimedia Commission. Markov chain Monte Carlo (MCMC) methods (which include random walk Monte Carlo methods) are a class of algorithms for sampling from probability… … Wikipedia
Markov-Chain — Eine Markow Kette (engl. Markov chain, auch Markow Prozess, nach Andrei Andrejewitsch Markow, andere Schreibweisen: Markov Kette, Markoff Kette) ist eine spezielle Klasse von stochastischen Prozessen. Man unterscheidet eine Markow Kette in… … Deutsch Wikipedia
Markov Chain — Eine Markow Kette (engl. Markov chain, auch Markow Prozess, nach Andrei Andrejewitsch Markow, andere Schreibweisen: Markov Kette, Markoff Kette) ist eine spezielle Klasse von stochastischen Prozessen. Man unterscheidet eine Markow Kette in… … Deutsch Wikipedia
Markov Reward Model Checker (MRMC) — An example run of MRMC The Markov Reward Model Checker (MRMC)[1] is a model checker for discrete time and continuous time Markov reward models. It supports reward extensions of PCTL and CSL ( … Wikipedia
Markov decision process — Markov decision processes (MDPs), named after Andrey Markov, provide a mathematical framework for modeling decision making in situations where outcomes are partly random and partly under the control of a decision maker. MDPs are useful for… … Wikipedia
Markov model — In probability theory, a Markov model is a stochastic model that assumes the Markov property. Generally, this assumption enables reasoning and computation with the model that would otherwise be intractable. Contents 1 Introduction 2 Markov chain… … Wikipedia
Markov property — In probability theory and statistics, the term Markov property refers to the memoryless property of a stochastic process. It was named after the Russian mathematician Andrey Markov.[1] A stochastic process has the Markov property if the… … Wikipedia
Markov random field — A Markov random field, Markov network or undirected graphical model is a set of variables having a Markov property described by an undirected graph. A Markov random field is similar to a Bayesian network in its representation of dependencies. It… … Wikipedia
Markov process — In probability theory and statistics, a Markov process, named after the Russian mathematician Andrey Markov, is a time varying random phenomenon for which a specific property (the Markov property) holds. In a common description, a stochastic… … Wikipedia
Markov network — A Markov network, or Markov random field, is a model of the (full) joint probability distribution of a set mathcal{X} of random variables having the Markov property. A Markov network is similar to a Bayesian network in its representation of… … Wikipedia
