# 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

Expectation Propagation for Continuous Time Bayesian Networks

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Importance Sampling for Continuous Time Bayesian Networks

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Compact structures for continuous time Bayesian networks

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