Assignment:
PART 1
a. Use the chain rule to rewrite P(A,B,C,D,E) for the variables in the graphical model below.
b. Investigate every triple in this graph. Use the d-separation algorithm to explain why each tripledoes or does not give rise to a conditional independence
PART 2
Consider the following Bayes' net on 5 binary variables: Smart, Study, Prepared, Fair, Pass.
a. What is the probability that a student who passed is smart?
b. What is the probability that a student who passed an unfair exam is smart?
c. How many roots are there here?
d. What is the probability that a student studied, given that she passed the exam?