- 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...
-
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...
- In statistics,
Markov chain Monte Carlo (MCMC) is a
class of
algorithms used to draw
samples from a
probability distribution.
Given a
probability distribution...
-
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...
- The
Markov condition,
sometimes called the
Markov ****umption, is an ****umption made in
Bayesian probability theory, that
every node in a
Bayesian network...
-
Markov decision process (MDP), also
called a
stochastic dynamic program or
stochastic control problem, is a
model for
sequential decision making when outcomes...
- 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...
