Infinite hierarchies and prior distributions

This paper introduces a way of constructing non-informative priors for Baye sian analysis, by taking a limit of priors arising from hierarchical constr uctions as the number of levels in the hierarchy converges to infinity. Res ults are proved showing that for location families, and other related cases , limits are often not dependent on the exact form of the increment distrib ution used.