We have a bag of three biased coins $a$, $b$, and $c$ with probabilities
of coming up heads of 20%, 60%, and 80%, respectively. One coin is drawn
randomly from the bag (with equal likelihood of drawing each of the
three coins), and then the coin is flipped three times to generate the
outcomes $X_1$, $X_2$, and $X_3$.

1. Draw the Bayesian network corresponding to this setup and define the necessary CPTs.

2. Calculate which coin was most likely to have been drawn from the bag if the observed flips come out heads twice and tails once.

1. Draw the Bayesian network corresponding to this setup and define the necessary CPTs.

2. Calculate which coin was most likely to have been drawn from the bag if the observed flips come out heads twice and tails once.

1. Draw the Bayesian network corresponding to this setup and define the
necessary CPTs.

2. Calculate which coin was most likely to have been drawn from the bag
if the observed flips come out heads twice and tails once.