The transition probability is the conditional probability that a Markov chain moves to state on its next step given that its current state is .
At state , the holding probability of a discrete-time Markov chain is the self-transition probability . It is the conditional probability that the next state remains . In a nearest-neighbour birth-death chain, it is , where and are the probabilities of stepping right and left. Holding changes the elapsed time but not the embedded chain of actual moves or its boundary exit probabilities.

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  1. Stochastic matrix
  2. Markov chain
  3. Markov process
  4. Probability theory
  5. Probability and statistics
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