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
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Support for hybrid networks
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Implementation of Junction Trees Algorithm
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Implementation of Elimination Trees Algorithm
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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.