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**Isabella Verdinelli**

This paper stresses the important distinction between expected utility functions and optimality criteria, examines a number of expected utility functions -- some of which possess interesting properties, and deserve wider use -- and derives the relevant Bayesian optimality criteria under normal assumptions. This unifying setup is useful for proving the main result of the paper, that clarifies the issue of designing for the normal linear model with unknown variance.

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