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  2. Examples of Markov chains - Wikipedia

    en.wikipedia.org/wiki/Examples_of_Markov_chains

    A state diagram for a simple example is shown in the figure on the right, using a directed graph to picture the state transitions. The states represent whether a hypothetical stock market is exhibiting a bull market, bear market, or stagnant market trend during a given week. According to the figure, a bull week is followed by another bull week ...

  3. Markov chain - Wikipedia

    en.wikipedia.org/wiki/Markov_chain

    A diagram representing a two-state Markov process. The numbers are the probability of changing from one state to another state. ... For example, the transition ...

  4. Continuous-time Markov chain - Wikipedia

    en.wikipedia.org/wiki/Continuous-time_Markov_chain

    A continuous-time Markov chain (CTMC) is a continuous stochastic process in which, for each state, the process will change state according to an exponential random variable and then move to a different state as specified by the probabilities of a stochastic matrix. An equivalent formulation describes the process as changing state according to ...

  5. Stochastic matrix - Wikipedia

    en.wikipedia.org/wiki/Stochastic_matrix

    In mathematics, a 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. [1] [2]: 10 It is also called a probability matrix, transition matrix, substitution matrix, or Markov matrix.

  6. Markov model - Wikipedia

    en.wikipedia.org/wiki/Markov_model

    In this context, the Markov property indicates that the distribution for this variable depends only on the distribution of a previous state. An example use of a Markov chain is Markov chain Monte Carlo, which uses the Markov property to prove that a particular method for performing a random walk will sample from the joint distribution.

  7. Discrete-time Markov chain - Wikipedia

    en.wikipedia.org/wiki/Discrete-time_Markov_chain

    An example of a stochastic process which is not a Markov chain is the model of a machine which has states A and E and moves to A from either state with 50% chance if it has ever visited A before, and 20% chance if it has never visited A before (leaving a 50% or 80% chance that the machine moves to E).

  8. State-transition table - Wikipedia

    en.wikipedia.org/wiki/State-transition_table

    This process can be described statistically using Markov Chains. For a nondeterministic finite-state machine, an input may cause the machine to be in more than one state, hence its non-determinism. This is denoted in a state-transition table by the set of all target states enclosed in a pair of braces {}. An example of a state-transition table ...

  9. Dependability state model - Wikipedia

    en.wikipedia.org/wiki/Dependability_state_model

    A dependability state diagram is a method for modelling a system as a Markov chain.It is used in reliability engineering for availability and reliability analysis. [1]A simple state model with two states