Exact Inference

Infer probability distributions

Exact inference is a solution for a fast implementation through the analytical computation of the conditional probability distributions over the variables of interest.



  • Support for hybrid networks.

  • Implementation of Junction Trees Algorithm.

  • Implementation of Elimination Trees Algorithm.

  • Fast inference results.


  • Koller D, Friedman N. Probabilistic graphical models: principles and techniques. MIT press; 2009. - II Inference, p285.
  • Cowell RG, Dawid P, Lauritzen SL, Spiegelhalter DJ. Probabilistic networks and expert systems: Exact computational methods for Bayesian networks. Springer Science & Business Media; 2006 May 29.
  • Maathuis M, Drton M, Lauritzen S, Wainwright M, editors. Handbook of graphical models. CRC Press; 2018 Nov 12.
  • Cowell RG, Boutilier C. Local Propagation in Conditional Gaussian Bayesian Networks. Journal of Machine Learning Research. 2005 Sep 1;6(9).
  • Darwiche A. Modeling and reasoning with Bayesian networks. Cambridge university press; 2009 Apr 6.
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