Re: [aima-talk] Belief Networks (Conditional independence in Bayesian Networks)
- On Thu, May 03, 2007 07:37:59PM -0000, orondojones wrote:
> I've read in the 2nd edition, that a node is conditionally independentThe so called Berkson's paradox states:
> 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?
if 0 < P(A) < 1 and 0 < P(B) < 1,
and P(A|B) = P(A), i.e. they are independent,
then P(A|B,C) < P(A|C) where C = A∪B (i.e. A or B).
Where is the contradiction?
Iván F. Villanueva B.