Markov information

A Markov chain or Markov process is a stochastic model describing a sequence of possible events in which the probability of each event depends only on...

Markov (Bulgarian, Russian: Марков), Markova, and Markoff are common surnames used in Russia and Bulgaria. Notable people with the name include: Ivana...

A hidden Markov model (HMM) is a Markov model in which the observations are dependent on a latent (or "hidden") Markov process (referred to as X {\displaystyle...

In mathematics, a Markov decision process (MDP) is a discrete-time stochastic control process. It provides a mathematical framework for modeling decision...

In statistics, Markov chain Monte Carlo (MCMC) is a class of algorithms used to draw samples from a probability distribution. Given a probability distribution...

Andrey Markov Chebyshev–Markov–Stieltjes inequalities Gauss–Markov theorem Gauss–Markov process Hidden Markov model Markov blanket Markov chain Markov decision...

In probability theory, a Markov model is a stochastic model used to model pseudo-randomly changing systems. It is assumed that future states depend only...

the Markov operator admits a kernel representation. Markov operators can be linear or non-linear. Closely related to Markov operators is the Markov semigroup...

named after the Russian mathematician Andrey Markov. The term strong Markov property is similar to the Markov property, except that the meaning of "present"...

Georgi Ivanov Markov (Bulgarian: Георги Иванов Марков [ɡɛˈɔrɡi ˈmarkov]; 1 March 1929 – 11 September 1978) was a Bulgarian dissident writer. He originally...

called a Markov blanket. If a Markov blanket is minimal, meaning that it cannot drop any variable without losing information, it is called a Markov boundary...

computer science, a Markov algorithm is a string rewriting system that uses grammar-like rules to operate on strings of symbols. Markov algorithms have been...

Gauss–Markov theorem Gauss–Markov process Markov blanket Markov boundary Markov chain Markov chain central limit theorem Additive Markov chain Markov additive...

and probability, a Markov random field (MRF), Markov network or undirected graphical model is a set of random variables having a Markov property described...

probability theory, a Markov kernel (also known as a stochastic kernel or probability kernel) is a map that in the general theory of Markov processes plays...

In mathematics, the Markov spectrum, devised by Andrey Markov, is a complicated set of real numbers arising in Markov Diophantine equations and also in...

In game theory, a Markov strategy is one that depends only on state variables that summarize the history of the game in one way or another. For instance...

Margaret Mary Markov (born November 22, 1948) is an American retired actress. She had a supporting role in the romantic drama The Sterile Cuckoo (1969)...

Ihor Olehovych Markov (Ukrainian: Ігор Олегович Марков; Russian: Игорь Олегович Марков, romanized: Igor Olegovich Markov; born on 18 January 1973 in Odesa)...

Sergei Alexandrovich Markov (Russian: Серге́й Александрович Марков; born 18 April 1958) is a Russian political scientist, journalist, former close advisor...

Alexander Markov is a Russian American violinist who has received awards from the Paganini International Violin Competition (gold medal) and the Avery...

Dmitri Markov (Belarusian: Дзьмітры Маркаў; born 14 March 1975 in Vitebsk, Byelorussian SSR) is a retired Belarusian-Australian pole vaulter. He is a former...

stochastic matrix is a square matrix used to describe the transitions of a Markov chain. Each of its entries is a nonnegative real number representing a probability...