Representing Distributions in BN - Continuous child node with discrete parent node

In this case, the conditional probability of the child node given its parents is typically a conditional Gaussian distribution for each of the states of the parent node.

The MTE-based approximation is also applicable in this type of dependency. In such cases, as well as when both parent and child nodes are continuous, MTE can deliver better approximations, especially in the case where the desired distribution is very different in shape to the Gaussian distribution.

Lastly, a novel method for representing conditional distributions between continuous nodes is introduced by the author in this thesis.

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