Inference in hybrid Bayesian networks using mixtures of polynomials

@article{Shenoy2011InferenceIH,
  title={Inference in hybrid Bayesian networks using mixtures of polynomials},
  author={Prakash P. Shenoy and James C. West},
  journal={Int. J. Approx. Reasoning},
  year={2011},
  volume={52},
  pages={641-657}
}
The main goal of this paper is to describe inference in hybrid Bayesian networks (BNs) using mixture of polynomials (MOP) approximations of probability density functions (PDFs). Hybrid BNs contain a mix of discrete, continuous, and conditionally deterministic random variables. The conditionals for continuous variables are typically described by conditional PDFs. A major hurdle in making inference in hybrid BNs is marginalization of continuous variables, which involves integrating combinations… CONTINUE READING
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