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A synthetic continuous Bayesian network

Usage

synthetic_gbn

synthetic_ci

Format

A continuous Bayesian networks over four variables ("y1", "y2", "y3", "y4"), embedding the statement "y1" independent of "y3" given "y2". The Bayesian network is available both as an object of class GBN and as an object of class CI.

An object of class GBN of length 3.

An object of class CI of length 4.

Source

C. Görgen & M. Leonelli (2020), Model-preserving sensitivity analysis for families of Gaussian distributions. Journal of Machine Learning Research, 21: 1-32.