Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1153786 | Statistics & Probability Letters | 2009 | 4 Pages |
Abstract
We show that an often-used Bayesian optimal design criterion function fits into a standard decision theoretic framework. This suggests a sensible two-stage decision theoretic approach whereby this criterion function is also used for inference once it is used for design.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Juli Atherton,