Bayesian Networks: the Parental Synergy
نویسنده
چکیده
In a Bayesian network, for any node its conditional probabilities given all possible combinations of values for its parent nodes are specified. In this paper a new notion, the parental synergy, is introduced which can be computed from these probabilities. This paper also conjectures a general expression for the error which is found in the marginal prior probabilities computed for a node when the parents of this node are assumed to be independent. The parental synergy is an important factor of this expression; it determines to what extend the actual dependency between the parent nodes can affect the computed probabilities. This role in the expression of the prior convergence error indicates that the parental synergy is a fundamental feature of a Bayesian network.
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