Definition of Markov. Meaning of Markov. Synonyms of Markov

- In probability theory and statistics, a Markov chain or Markov process is a stochastic process describing a sequence of possible events in which the probability...
- 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 statistics, Markov chain Monte Carlo (MCMC) is a class of algorithms used to draw samples from a probability distribution. Given a probability distribution...
- Markov decision process (MDP), also called a stochastic dynamic program or stochastic control problem, is a model for sequential decision making when outcomes...
- 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 ****umed that ****ure 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...
- and probability, a Markov random field (MRF), Markov network or undirected graphical model is a set of random variables having a Markov property described...
- 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...