- Markov analysis
- 1) Бухгалтерия: марковский анализ2) Вычислительная техника: анализ Маркова
Универсальный англо-русский словарь. Академик.ру. 2011.
Markov analysis
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Markov Analysis — A method used to forecast the value of a variable whose future value is independent of its past history. The technique is named after Russian mathematician Andrei Andreyevich Markov, who pioneered the study of stochastic processes, which are… … Investment dictionary
Markov Processes International — Markov Processes International, LLC Type Private Founded 1990 Founders Michael Markov, Mik Kvitchko Headquarters Summit, NJ, United States Industry Financial Services, Software Provider Websi … Wikipedia
Markov perfect equilibrium — A solution concept in game theory Relationships Subset of Subgame perfect equilibrium Significance Proposed by … Wikipedia
Markov's principle — Markov s principle, named after Andrey Markov Jr, is a classical tautology that is not intuitionistically valid but that may be justified by constructive means. There are many equivalent formulations of Markov s principle. Contents 1 Statements… … Wikipedia
Markov's inequality — gives an upper bound for the measure of the set (indicated in red) where f(x) exceeds a given level . The bound combines the level with the average value of f … Wikipedia
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 brothers' inequality — In mathematics, the Markov brothers inequality is an inequality proved by Andrey Markov and Vladimir Markov. This inequality bounds the maximum of the derivatives of a polynomial on an interval in terms of the maximum of the polynomial.[1] For k … 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 chain mixing time — In probability theory, the mixing time of a Markov chain is the time until the Markov chain is close to its steady state distribution. More precisely, a fundamental result about Markov chains is that a finite state irreducible aperiodic chain has … Wikipedia
