The Transition probability Pij is the Conditional probability that a Markov chain moves to state j on its next step given that its current state is i.
At state x, the holding Probability of a discrete-time Markov chain is the self-transition Probability P(x,x). It is the Conditional probability that the next state remains x. In a nearest-neighbour birth-death chain, it is 1−px−qx, where px and qx 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.
Ancestors (8)
- Stochastic matrix
- Markov chain
- Markov process
- Probability theory
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Incoming links (93)
- Absorbing state
- Accessible state of a Markov chain
- Barker acceptance probability
- Bellman equation
- Channel capacity
- Commute time identity
- Continuous-time Markov chain
- Continuous-time Markov chain convergence theorem
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- Duration of gambler's ruin conditioned on a chosen boundary
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- Five-state barrier example for simulated annealing
- Five-state harmonic absorption example
- Fixed-temperature law of simulated annealing
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- Irreversible three-state disease model
- Lumped Markov chain
- Markov chain
- Markov chain invariant measure
- Markov chain return bridge
- Markov decision process
- Mixed panel and exact-death likelihood
- Occupation time of a continuous-time Markov chain
- Panel-observed multi-state likelihood
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- Poisson Metropolis chain
- Preservation under enlargement of transition support
- Progressive illness-death model
- Random adjacent transposition shuffle
- Random walk on a graph
- Random walk on a multigraph
- Reflected chain with geometric downward jumps
- Reflected lazy walk with doubled endpoint transitions
- Reset-or-increment Markov chain
- Simple random walk on the integer line
- Simulated annealing
- Spectral profile
- Square-pulse resonance profile
- Stochastic matrix
- Transition-completion time in a Markov chain
- Transition density
- Transition probability
- Unitary time evolution
- Weakly symmetric channel capacity
- Weak-pulse Ramsey spectrum
- Weighted graph
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