MARKOV AND BAYESIAN NETWORKS
Two Graphical Representations of Probabilistic Knowledge
Probability is not really about numbers; it is about the structure of reasoning.— G. Shafer
Probability is not really about numbers; it is about the structure of reasoning.
—G. Shafer
In this chapter, we shall seek effective graphic representations of the dependencies embedded in probabilistic models. First, we will uncover a set of axioms for the probabilistic relation “X is independent of Y, given Z” and offer the set as a formal definition for the notion of informational dependency. Given an initial set of independence relationships, the axioms permit us to infer new independencies by nonnumeric, logical manipulations. Using this axiomatic ...
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