Asymmetric assessment is a method of reducing the number of unique prior probabilties necessary to build a distribution. It allows you to group or segment the probabilities based on conditions. In essence, you create a decision tree that represents the underlying conditioning influences that you, as the model builder, understand.
To understand the concepts and process of asymmetric assessment, read the topic Details of Asymmetric Assessment.
To access the Asymmetric Assessment dialog window, select a node and then do one of the following:
Select the 
button on the main window's task bar
OR
Right-click the mouse button and then select Asymmetric Assessment
OR
Select View from the top menu and then select Asymmetric Assessment.
