Edit | Parameter Estimation with Trees
Graph Contextual Menu | Parameter Estimation with Trees
BayesiaLab offers the ability of using Conditional Probability Trees (CPTr) for compactly representing Conditional Probability Distributions (CPDs) by exploiting Contextual Independencies, e.g. when the state of one parent makes the other co-parent(s), the spouse(s), independent of the child node.
New Feature: EQ, TabooEQ and SopLEQ
As of version 9.0, all unsupervised structural learning algorithms are compatible with the probabilities estimation with Conditional Probability Trees.