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Reversible-jump Markov chain Monte Carlo; Reversible dynamics; Rind et al. controversy – interpretations of paper involving meta-analysis; Rice distribution; Richardson–Lucy deconvolution; Ridge regression – redirects to Tikhonov regularization; Ridit scoring; Risk adjusted mortality rate; Risk factor; Risk function; Risk perception; Risk ...
Download as PDF; Printable version; ... a Markov chain or Markov process is a stochastic ... Markov chain models have been used in advanced baseball analysis since ...
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.
In probability theory, the matrix analytic method is a technique to compute the stationary probability distribution of a Markov chain which has a repeating structure (after some point) and a state space which grows unboundedly in no more than one dimension.
2 Stationary analysis. ... Download as PDF; Printable version; In other projects ... This is the same continuous time Markov chain as in a birth–death process.
A Tolerant Markov model (TMM) is a probabilistic-algorithmic Markov chain model. [6] It assigns the probabilities according to a conditioning context that considers the last symbol, from the sequence to occur, as the most probable instead of the true occurring symbol.
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.
A terminating Markov chain is a Markov chain where all states are transient, except one which is absorbing. Reordering the states, the transition probability matrix of a terminating Markov chain with m {\displaystyle m} transient states is
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