Question: Consider again the Bayesian coin flipping experiment of given Example, where the prior is uniform. If we use Eq. (14.21) to find the Bayesian estimator, what is the estimate of È after the first head? And after the second head?
Example: (Bayesian learning and coin flipping) We tend to take for granted that coins are fair, and that the probability of getting head is 1/2. Let us consider flipping a possibly unfair coin, with an unknown probability θ of getting head.