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Jun 29, 2019 at 9:29 comment added CamilB You could start with a test of conditional independence (like the G-test or the chi-squared test): calculate the statistic, but stop before applying a threshold. You would get a p-value for how independent a node is of the network, given each separate Markov blanket, and compare the p-values generated by the tests of conditional independence. But please be aware this is abusing p-values. They aren't "scores" in the proper sense.
Mar 12, 2015 at 22:15 history asked Count Zero CC BY-SA 3.0