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Example: 4 Full Houses in Poker
Bayesian:
–Knows the probability that I might be a
cheater based on information derived prior to observing me
play
–Knows the probability that I would get
4 full houses for every level of cheating that I might engage
in
–Computes the posterior probability that
I was not cheating (probability after observing me play)
–If that probability is low, calls me a
cheater