Corpus ID: 8448908

Continuous Time Bayesian Networks

@inproceedings{Nodelman2002ContinuousTB,
  title={Continuous Time Bayesian Networks},
  author={U. Nodelman and C. Shelton and D. Koller},
  booktitle={UAI},
  year={2002}
}
In this paper we present a language for finite state continuous time Bayesian networks (CTBNs), which describe structured stochastic processes that evolve over continuous time. The state of the system is decomposed into a set of local variables whose values change over time. The dynamics of the system are described by specifying the behavior of each local variable as a function of its parents in a directed (possibly cyclic) graph. The model specifies, at any given point in time, the… Expand
296 Citations
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