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  2. Transition-rate matrix - Wikipedia

    en.wikipedia.org/wiki/Transition-rate_matrix

    In probability theory, a transition-rate matrix (also known as a Q-matrix, [1] intensity matrix, [2] or infinitesimal generator matrix [3]) is an array of numbers describing the instantaneous rate at which a continuous-time Markov chain transitions between states.

  3. 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.

  4. 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.

  5. Continuous-time Markov chain - Wikipedia

    en.wikipedia.org/wiki/Continuous-time_Markov_chain

    Transition graph with transition probabilities, exemplary for the states 1, 5, 6 and 8. There is a bidirectional secret passage between states 2 and 8. The image to the right describes a discrete-time Markov chain modeling Pac-Man with state-space {1,2,3,4,5,6,7,8,9}. The player controls Pac-Man through a maze, eating pac-dots.

  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. Markov decision process - Wikipedia

    en.wikipedia.org/wiki/Markov_decision_process

    Value iteration starts at = and as a guess of the value function. It then iterates, repeatedly computing V i + 1 {\displaystyle V_{i+1}} for all states s {\displaystyle s} , until V {\displaystyle V} converges with the left-hand side equal to the right-hand side (which is the " Bellman equation " for this problem [ clarification needed ] ).

  8. Wikipedia:Graphs and charts - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Graphs_and_charts

    {} is an experimental graph-drawing template that produces a pie chart 200 pixels wide in the article. When making a pie chart, ensure that the segments are ordered by size (largest to smallest) and in a clockwise direction. [clarification needed] Setting the other parameter to yes will pad the chart so that the values total to 100.

  9. Wikipedia : How to create charts for Wikipedia articles

    en.wikipedia.org/wiki/Wikipedia:How_to_create...

    A SVG plot with Wikimedia SVG Chart. Wikimedia SVG Chart is a graph generator using the templates functionality of Wikimedia Commons. This template generates line and point charts in a structured and readable svg format. The original values are provided unmodified for the SVG file.