- Markovian property
- стат. марковость
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Markovian property
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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
Random field — A random field is a generalization of a stochastic process such that the underlying parameter need no longer be a simple real, but can instead be a multidimensional vector space or even a manifold.At its most basic, discrete case, a random field… … Wikipedia
Dissipation model for extended environment — (a) The Brownian particle in the Caldeira Leggett model experiences a fluctuating homogeneous field of force. (b) In case of the DLD model the fluctuating field is farther characterized by a finite correlation distance. The background image is a… … 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
Itō diffusion — In mathematics mdash; specifically, in stochastic analysis mdash; an Itō diffusion is a solution to a specific type of stochastic differential equation. Itō diffusions are named after the Japanese mathematician Kiyoshi Itō.OverviewA (time… … 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
probability theory — Math., Statistics. the theory of analyzing and making statements concerning the probability of the occurrence of uncertain events. Cf. probability (def. 4). [1830 40] * * * Branch of mathematics that deals with analysis of random events.… … Universalium
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
Alexandra Bellow — (1935 ndash;) is a mathematician who has made substantial contributions to the fields of ergodic theory, probability and analysis. BiographyShe was born in Bucharest, Romania, as Alexandra Bagdasar. Her parents were both physicians. Her mother,… … Wikipedia
Poisson process — A Poisson process, named after the French mathematician Siméon Denis Poisson (1781 ndash; 1840), is the stochastic process in which events occur continuously and independently of one another (the word event used here is not an instance of the… … Wikipedia
Chapman-Kolmogorov equation — In mathematics, specifically in probability theory, and yet more specifically in the theory of Markovian stochastic processes, the Chapman Kolmogorov equation can be viewed as an identity relating the joint probability distributions of different… … Wikipedia
