Even then, it is not clear why we should take this distribution as an appropriate expression of our belief, so that we may support the epistemic interpretation of confidence intervals with it. And so the debate continues. In the end fiducial probability is perhaps best understood as a half-way house between the classical and the Bayesian view on statistics. Classical statistics grew out of a frequentist interpretation of probability, and accordingly the probabilities appearing in the classical statistical methods are all interpreted as frequencies of events. Clearly, the probability distribution over hypotheses that is generated by a fiducial argument cannot be interpreted in this way, so that an epistemic interpretation of this distribution seems the only option.  Several authors (e.g., Dempster 1964) have noted that fiducial probability indeed makes most sense in a Bayesian perspective. It is to this perspective that we now turn. 