- Markov('s) time
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марковский момент
Англо-русский словарь технических терминов. 2005.
Markov('s) time
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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
Time-Inhomogeneous Hidden Bernoulli Model — (TI HBM) is an alternative to Hidden Markov Model (HMM) for Automatic Speech Recognition. Contrary to HMM, the state transition process in TI HBM is not a Markov dependent process, rather it is a generalized Bernoulli (an independent) process.… … Wikipedia
Markov Hrib — Village Country Croatia Region County … Wikipedia
Time series — Time series: random data plus trend, with best fit line and different smoothings In statistics, signal processing, econometrics and mathematical finance, a time series is a sequence of data points, measured typically at successive times spaced at … 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 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 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 switching multifractal — In financial econometrics, the Markov switching multifractal (MSM) is a model of asset returns that incorporates stochastic volatility components of heterogeneous durations.[1][2] MSM captures the outliers, log memory like volatility persistence… … 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
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 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
