Parameter Estimation with Trees

Selecting Parameter Estimation with Trees from the network contextual menu causes BayesiaLab to estimate probabilities using Conditional Probability Trees (CPTr). A Conditional Probability Tree compactly represents a Conditional Probability Distribution (CPD) by taking advantage of Contextual Independencies. A Contextual Independence exists if a particular state of a parent node makes the other co-parents, i.e., the spouses, independent of the child node. All unsupervised structural learning algorithms, including EQ, TabooEQ, and SopLEQ, are compatible with this estimation method.

The same option is also available from BayesiaLab’s Menus via Edit > Parameter Estimation with Trees.