Abstract
The evaluation of informative hypotheses has gained in popularity in applied sciences, because it enables researchers to investigate their expectations with respect to the population of interest. In this dissertation, approximate Bayesian approaches are developed to evaluate informative hypotheses by means of the Bayes factor in a very general class
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