How many samples? A Bayesian nonparametric approach

Walker, Stephen G. (2003) How many samples? A Bayesian nonparametric approach. Journal of the Royal Statistical Society: Series D (The Statistician), 52 (4). pp. 475-482. ISSN 0039-0526. (The full text of this publication is not available from this repository)

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Abstract

The paper considers a Bayesian nonparametric decision theoretic approach to sample size calculations, where the ultimate goal is to make a terminal action from a finite set of actions. This terminal action is made via the maximization of expected utility, the maximization being made with respect to a probability measure on the states of nature. The probability measure depends on the amount of information, i.e. the number of samples collected. It is the prior in the case of no samples and the posterior when samples have been taken.

Item Type: Article
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: Judith Broom
Date Deposited: 12 Sep 2008 12:56
Last Modified: 29 Apr 2014 15:48
Resource URI: http://kar.kent.ac.uk/id/eprint/10579 (The current URI for this page, for reference purposes)
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