Timeline for What is the Markov blanket of a deterministic variable?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 30, 2019 at 13:15 | vote | accept | CamilB | ||
| Jun 29, 2019 at 15:53 | answer | added | George | timeline score: 4 | |
| Jun 29, 2019 at 12:27 | comment | added | CamilB | @George, your comment is the actual answer to my question. Can you please post it as an answer, so I can accept it? | |
| Jun 29, 2019 at 10:21 | comment | added | George | The Markov blanket of a node in a Bayesian network consists of the set of parents, children and spouses (parents of children), under certain assumptions. One of them is the faithfulness assumption, which, together with the Markov condition, implies that two variables X and Y are conditionally independent given a set of variables Z if and only if they are d-separated by Z in the graph. Deterministic relationships violate the faithfulness assumption. For example, in your case "either" is conditionally independent of all variables conditional on {"tub", "lung"}, although they are not d-separated. | |
| Jun 29, 2019 at 9:48 | history | asked | CamilB | CC BY-SA 4.0 |