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Markov (Bulgarian, Russian: Марков), Markova, and
Markoff are
common surnames used in
Russia and Bulgaria.
Notable people with the name include: Ivana...
- 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...
- 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...
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Markov decision process (MDP), also
called a
stochastic dynamic program or
stochastic control problem, is a
model for
sequential decision making when outcomes...
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Andrey Markov Chebyshev–
Markov–Stieltjes
inequalities Gauss–
Markov theorem Gauss–
Markov process Hidden Markov model Markov blanket Markov chain Markov decision...
- the
Markov operator admits a
kernel representation.
Markov operators can be
linear or non-linear.
Closely related to
Markov operators is the
Markov semigroup...
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Georgi Ivanov Markov (Bulgarian: Георги Иванов Марков [ɡɛˈɔrɡi
ˈmarkov]; 1
March 1929 – 11
September 1978) was a
Bulgarian dissident writer. He originally...
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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...
-
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...
