Link
The links of a Bayes net indicate which nodes (i.e. variables) are directly dependent on others. More accurately, they indicate which nodes are = 4 && typeof(BSPSPopupOnMouseOver) == 'function') BSPSPopupOnMouseOver(event);" class="BSSCPopup" onclick="BSSCPopup('X_PU_conditionally_independent.htm');return false;">independent of which others. If there is no link from one node to another, then their corresponding variables are conditionally independent given values for their parents. Using the d-separation rule, you can determine which nodes effect which others during probabilistic inference, based on the = 4 && typeof(BSPSPopupOnMouseOver) == 'function') BSPSPopupOnMouseOver(event);" class="BSSCPopup" onclick="BSSCPopup('X_PU_link_structure.htm');return false;">link structure link of the net.
A link between two nodes is indicated as a line between them with an arrow at one end, there are several ways to add links between nodes.
A link into a decision node is known as an = 4 && typeof(BSPSPopupOnMouseOver) == 'function') BSPSPopupOnMouseOver(event);" class="BSSCPopup" onclick="BSSCPopup('X_PU_informational_link.htm');return false;">informational link, and indicates that the decision maker will know the values of the parent nodes when a decision must be made.
Some people refer to links as “arcs” or “edges”.