The Markov boundary of a node X is the minimal set of nodes for which any set of positive findings can be supplied and X will be conditionally independent of all other nodes in the net. For a Bayes net, this is X's parents, X's children and X's childrens' other parents.

A set of nodes Y can also have a Markov boundary. If positive findings are obtained for the Markov boundary nodes, then findings for the Y nodes will not provide any additional information about any other node in the net and vice-versa.

Netica can find and display the Markov boundary of a node or set of nodes.

Home > P_markovBoundary