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  2. Markov chain - Wikipedia

    en.wikipedia.org/wiki/Markov_chain

    Instead of defining to represent the total value of the coins on the table, we could define to represent the count of the various coin types on the table. For instance, X 6 = 1 , 0 , 5 {\displaystyle X_{6}=1,0,5} could be defined to represent the state where there is one quarter, zero dimes, and five nickels on the table after 6 one-by-one draws.

  3. Examples of Markov chains - Wikipedia

    en.wikipedia.org/wiki/Examples_of_Markov_chains

    A game of snakes and ladders or any other game whose moves are determined entirely by dice is a Markov chain, indeed, an absorbing Markov chain. This is in contrast to card games such as blackjack, where the cards represent a 'memory' of the past moves. To see the difference, consider the probability for a certain event in the game.

  4. Stochastic chains with memory of variable length - Wikipedia

    en.wikipedia.org/wiki/Stochastic_chains_with...

    The class of stochastic chains with memory of variable length was introduced by Jorma Rissanen in the article A universal data compression system. [1] Such class of stochastic chains was popularized in the statistical and probabilistic community by P. Bühlmann and A. J. Wyner in 1999, in the article Variable Length Markov Chains.

  5. Stochastic process - Wikipedia

    en.wikipedia.org/wiki/Stochastic_process

    If the state space is the real line, then the stochastic process is referred to as a real-valued stochastic process or a process with continuous state space. If the state space is n {\displaystyle n} -dimensional Euclidean space, then the stochastic process is called a n {\displaystyle n} - dimensional vector process or n {\displaystyle n ...

  6. Markov chain Monte Carlo - Wikipedia

    en.wikipedia.org/wiki/Markov_chain_Monte_Carlo

    In statistics, Markov chain Monte Carlo (MCMC) is a class of algorithms used to draw samples from a probability distribution. Given a probability distribution, one can construct a Markov chain whose elements' distribution approximates it – that is, the Markov chain's equilibrium distribution matches the target distribution.

  7. Continuous-time Markov chain - Wikipedia

    en.wikipedia.org/wiki/Continuous-time_Markov_chain

    Another discrete-time process that may be derived from a continuous-time Markov chain is a δ-skeleton—the (discrete-time) Markov chain formed by observing X(t) at intervals of δ units of time. The random variables X (0), X (δ), X (2δ), ... give the sequence of states visited by the δ-skeleton.

  8. Addition-subtraction chain - Wikipedia

    en.wikipedia.org/wiki/Addition-subtraction_chain

    An addition-subtraction chain for n, of length L, is an addition-subtraction chain such that =. That is, one can thereby compute n by L additions and/or subtractions. (Note that n need not be positive. In this case, one may also include a −1 = 0 in the sequence, so that n = −1 can be obtained by a chain of length 1.)

  9. Shadowstats.com - Wikipedia

    en.wikipedia.org/wiki/Shadowstats.com

    Shadowstats.com is a website that analyzes and offers alternatives to government economic statistics for the United States.Shadowstats primarily focuses on inflation, but also keeps track of the money supply, unemployment and GDP by utilizing methodologies abandoned by previous administrations from the Clinton era to the Great Depression.