EXACT INFERENCE

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

Features

  • Support for hybrid networks

  • Implementation of Junction Trees Algorithm

  • Implementation of Elimination Trees Algorithm

  • Fast inference results

References

[1]  Koller D, Friedman N. Probabilistic graphical models: principles and techniques. MIT press; 2009. - II Inference, p285

[2]  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.

[3]  Maathuis M, Drton M, Lauritzen S, Wainwright M, editors. Handbook of graphical models. CRC Press; 2018 Nov 12.

[4]  Cowell RG, Boutilier C. Local Propagation in Conditional Gaussian Bayesian Networks. Journal of Machine Learning Research. 2005 Sep 1;6(9).

[5]  Darwiche A. Modeling and reasoning with Bayesian networks. Cambridge university press; 2009 Apr 6.