✦ LIBER ✦
Statistical inference with partial prior information based on a Gauss-type inequality
✍ Scribed by L.M. Meaux; J.W. Seaman Jr.; D.M. Young
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 318 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0895-7177
No coin nor oath required. For personal study only.
✦ Synopsis
Potter and Anderson [1]
have developed a Bayesian decision procedure requiring the specification of a class of prior distributions restricted to have a minimal probability content for a given subset of the parameter space. They do not, however, provide a method for the selection of that subset. We show how a generalization of Gauss' inequality can be used to determine the relevant parameter subset.