A Channel-based Exact Inference Algorithm for Bayesian Networks

Bart Jacobs

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arXiv · 1804.08032

A Channel-based Exact Inference Algorithm for Bayesian Networks

Bart Jacobs

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Abstract

This paper describes a new algorithm for exact Bayesian inference that is based on a recently proposed compositional semantics of Bayesian networks in terms of channels. The paper concentrates on the ideas behind this algorithm, involving a linearisation (`stretching') of the Bayesian network, followed by a combination of forward state transformation and backward predicate transformation, while evidence is accumulated along the way. The performance of a prototype implementation of the algorithm in Python is briefly compared to a standard implementation (pgmpy): first results show competitive performance.

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BibTeX RIS

Bart Jacobs. 2018-04-21. A Channel-based Exact Inference Algorithm for Bayesian Networks. https://arxiv.org/abs/1804.08032

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