Walker, S.G. and Gutierrez-Pena, E. (2007) Bayesian parametric inference in a nonparametric framework. Test, 16 (1). pp. 188-197. ISSN 1133-0686.
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| Official URL http://dx.doi.org/10.1007/s11749-006-0008-8 |
Abstract
This paper considers the problem of reporting a "posterior distribution" using a parametric family of distributions while working in a nonparametric framework. This "posterior" is obtained as the solution to a decision problem and can be found via a well-known optimization algorithm
| Item Type: | Article |
|---|---|
| Uncontrolled keywords: | decision theory; expected utility; nonparametric prior; parametric predictive density DENSITY-ESTIMATION; MIXTURES; INFORMATION; ALGORITHMS; MODELS |
| Subjects: | Q Science > QA Mathematics (inc Computing science) |
| Divisions: | Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics |
| Depositing User: | Stephen Holland |
| Date Deposited: | 19 Dec 2007 18:56 |
| Last Modified: | 14 Jan 2010 14:03 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/1429 (The current URI for this page, for reference purposes) |
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