In sampling from a Bernoulli process, the posterior distribution is the same whether we sample with N fixed (binomial sampling) or with r fixed (Pascal sampling). Explain why this is true. Suppose the statistician merely sampled until he was tired and decided to go home—would the posterior distribution still be the same (that is, is the stopping rule noninformative) ?