document: Statistical inference with partial prior information based on a Gauss-type inequality Potter and Anderson -LRB- 1983 -RRB- have developed a Bayesian decision procedure requiring the specification of a class of prior distributions restricted to have a minimal probability content for a given subset of the parameter space . They do not , however , provide a method for the selection of that subset . We show how a generalization of Gauss ' inequality can be used to determine the relevant parameter subset
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