In the case of the simple Bernoulli model, explain the difference between frequentist inference based on a sampling distribution of an estimator of θ, say f ( θ (x); θ), ∀x∈Rn and Bayesian inference based on the posterior distribution π(θ|x0), ∀θ∈.