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On the differential equations for the transition probabilities of Markov processes with enumerably many states
64
Citations
6
References
1953
Year
EngineeringConditional ProbabilityMarkov Decision ProcessesP IkMarkov ChainsIntegrable ProbabilityHidden Markov ModelStochastic ProcessesProbabilistic SystemMany StatesMarkov ProcessesStochastic Dynamical SystemProbability TheoryDifferential EquationsTransition ProbabilitiesMarkov Decision ProcessEntropyNatural SciencesMarkov KernelInteracting Particle System
Let p ik ( s, t ) ( i, k = 1, 2, …; s ≤ t ) be the transition probabilities of a Markov process in a system with an enumerable set of states. The states are labelled by positive integers, and p ik ( s, t ) is the conditional probability that the system be in state k at time t, given that it was in state i at an earlier time s. If certain regularity conditions are imposed on the p ik , they can be shown to satisfy the well-known Kolmogorov equations §
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