Child pages
  • Parameter Estimation with Trees (9.0)



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.