SINGULAR PRIOR DISTRIBUTIONS AND ILL-CONDITIONING IN BAYESIAN D-OPTIMAL DESIGN FOR SEVERAL NONLINEAR MODELS
For Bayesian D-optimal design, we define a singular prior distribution for the model parameters as a prior distribution such that the determinant of the Fisher information matrix has a prior geometric mean of zero for all designs. For such a prior distribution, the Bayesian D-optimality criterion fa...
| Veröffentlicht in: | Statistica Sinica. in. - Institute of Statistical Science, Academia Sinica and International Chinese Statistical Association, 1991. - 28(2018), 1, Seite 505-525 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2018
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| Zugriff auf das übergeordnete Werk: | Statistica Sinica. in |
| Schlagworte: | Philosophy Information science Arts Applied sciences Physical sciences Mathematics |
| Online verfügbar |
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