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Chain Urn
Markov chain transition matrix of how the decision?

Consider a ball of N containing all the jar A and B. The experiments The ball is performed at the time t) random (all possible selection Evenly selected (t = 1, 2, ...) from the collection of nuts, the entire N. Then Jar is selected and the probability of selection (P and B are randomly and Selected with probability Q on the ball before Green put in a jar. In each trial, the state of the system are represented by numbers from A ball -> This decision matrix for Markov chain transition.

Love carnations, from S,) the number of the current state (ie, in a jar Ball number, so S 0, {1, 2,. . . No}. Next (No + 1) (No + 1) transformation) S | 1 - Wed defined by the matrix P (s → S, No P = contact / (s → S + 1 | S) and = P (No - not of course) / N in, and P (s → S | S) and = 1 - [Q S + P and (no - S)] two / N in, P a (b → a | B) represents the probability that the move "before" in "and" state B (ie, at time t) as a state (ie at time t, + 1), given the system Under the current B

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