Statements (17)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
graph
statistical analysis |
| gptkbp:application |
causal inference
feature selection in machine learning structure learning in graphical models |
| gptkbp:defines |
the set of nodes consisting of a node's parents, its children, and the other parents of its children in a Bayesian network
|
| gptkbp:function |
shields a node from the rest of the network
|
| https://www.w3.org/2000/01/rdf-schema#label |
Markov blanket
|
| gptkbp:namedAfter |
gptkb:Andrey_Markov
|
| gptkbp:property |
a node is conditionally independent of all other nodes in the network given its Markov blanket
|
| gptkbp:relatedTo |
gptkb:Markov_property
conditional independence d-separation |
| gptkbp:usedIn |
gptkb:Bayesian_networks
probabilistic graphical models |
| gptkbp:bfsParent |
gptkb:Markov_model
|
| gptkbp:bfsLayer |
8
|