I'm struggling trying to understand bayesian network.
Having trouble finding P(F&G)
I know independence and conditional independence are different things. Conditional independence is when A node is conditionally independent of its non-descendents, given its parents and Independent events are events where the outcome of one has no effect on the possible outcome of another.
I was wondering for this case if it's possible to use P(F&G)=P(F)*P(G)? I would really highly appreciate if anyone can explain to me why or why not and possibly the start of the calculation. I've been stuck for days.