757Belief Networks (Conditional independence in Bayesian Networks)
- May 3, 2007I've read in the 2nd edition, that a node is conditionally independent
of its non-descendants given its parents or given its Markov blanket.
The 2nd edition makes reference to the 1st edition regarding d-
separation and I have read the 1st edition's information about d-
separation; however, I have come across in some additonal reading
something called Berkson's paradox.
This paradox seems to show circumstances that contradict the
statements made about d-separation and Markov blankets. Am I correct
in thinking that Berkson's paradox is an exception to rules regarding
d-separation and Markov blankets?
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