Role of experimental randomization in Bayesian statistics: An asymptotic theory for a single Bayesian

Many experimental situations with controllable, independent design variables have an associated null hypothesis 0 of zero dependence of observations on the design variables. The necessity of randomization of the design variables for asymptotic discriminability between 0 and its complement is considered in terms of likelihood ratios. Applications are made to stochastic processes and comparative experiments.