The graph encodes the assumption that the two child nodes (effects) are conditionally independent given the parent node. This means that once the state of the parent is known, knowing the state of one child provides no additional information about the state of the other child.
Conditions: The model is a Bayesian network with a common parent structure.; The parent node's status is specified (conditioned upon).
The graph encodes the assumption that the two child nodes (effects) are conditionally independent given the parent node. This means that once the state of the parent is known, knowing the state of one child provides no additional information about the state of the other child.
Conditions: The model is a Bayesian network with a common parent structure.; The parent node's status is specified (conditioned upon).