- Markov chain product
- Математика: произведение марковских цепей
Универсальный англо-русский словарь. Академик.ру. 2011.
Markov chain product
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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 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
Chain (disambiguation) — A chain is a sequence of connected links. Chain may also refer to: Chain may refer to: Necklace a jewelry which is worn around the neck Mail (armour) (or chainmail ), a type of armor made of interlocking chain links Chain tool, small mechanical… … 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 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
Dynamic Markov compression — (DMC) is a lossless data compression algorithm developed by Gordon Cormack and Nigel Horspool [1]. It uses predictive arithmetic coding similar to prediction by partial matching (PPM), except that the input is predicted one bit at a time (rather… … Wikipedia
List of mathematics articles (M) — NOTOC M M estimator M group M matrix M separation M set M. C. Escher s legacy M. Riesz extension theorem M/M/1 model Maass wave form Mac Lane s planarity criterion Macaulay brackets Macbeath surface MacCormack method Macdonald polynomial Machin… … Wikipedia
Bayesian network — A Bayesian network, Bayes network, belief network or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional dependencies via a directed acyclic graph (DAG). For example … Wikipedia
Models of DNA evolution — A number of different Markov models of DNA sequence evolution have been proposed. These substitution models differ in terms of the parameters used to describe the rates at which one nucleotide replaces another during evolution. These models are… … Wikipedia
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Subshift of finite type — In mathematics, subshifts of finite type are used to model dynamical systems, and in particular are the objects of study in symbolic dynamics and ergodic theory. They also describe the set of all possible sequences executed by a finite state… … Wikipedia
