Conditional probability question.
Let's say I have...
- three random variables:
A
,B
,C
A
andB
are independentC
depends onA
andB
My question is: can I express P(C | A, B)
in terms of P(A)
, P(B)
, P(C | A)
, and P(C | B)
?
Asking this because I'm studying Bayesian networks, and I'm wondering if it's possible to define a node's "complete" conditional probability distribution (i.e. P(X | all parents of X)
) given only "partially conditional" distributions, like one conditional per parent ({P(X | parent 1), P(X | parent 2), ...}
).
I have a hunch that this is not possible. I think we also need to know P(A, B | C)
. Just struggling to prove this analytically.