algorithms2: algorithms Bayesian Networks

algorithms2R Documentation

algorithms Bayesian Networks

Description

Entropy and the Kullback-Leibler divergence for Bayesian networks: Computational complexity and efficient implementation.

Format

A Gaussian Bayesian network to illustrate the algorithms developed in the associated paper (Figure 1, bottom). The probabilities were available from a repository. The vertices are:

X1
X2
X3
X4

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

Scutari, M. (2024). Entropy and the Kullback-Leibler Divergence for Bayesian Networks: Computational Complexity and Efficient Implementation. Algorithms, 17(1), 24.


bnRep documentation built on April 12, 2025, 1:13 a.m.