On BayesianD-optimum Design Criteria and the Equivalence Theorem in Non-linear Models
Journal of the Royal Statistical Society: Series B (Statistical Methodology) · 1997 · Volume 59 · Issue 4
Abstract
The concavity of some BayesianD-optimality criteria is investigated and is found in some cases to depend on the prior distribution. In the case of a non-concave criterion, the standard equivalence theorem may fail, but a local version continues to apply.
Keywords
Concavity, Equivalence theorem, Optimum design of experiments
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