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On nonparametric predictive inference and abjective Bayesianism.

Coolen, F. P. A. (2006) 'On nonparametric predictive inference and abjective Bayesianism.', Journal of logic, language and information., 15 (1-2). pp. 21-47.

Abstract

This paper consists of three main parts. First, we give an introduction to Hill’s assumption A (n) and to theory of interval probability, and an overview of recently developed theory and methods for nonparametric predictive inference (NPI), which is based on A (n) and uses interval probability to quantify uncertainty. Thereafter, we illustrate NPI by introducing a variation to the assumption A (n), suitable for inference based on circular data, with applications to several data sets from the literature. This includes attention to comparison of two groups of circular data, and to grouped data. We briefly discuss such inference for multiple future observations. We end the paper with a discussion of NPI and objective Bayesianism.

Item Type:Article
Additional Information:
Keywords:Circular data, Exchangeability, Grouped data, Imprecise probabilities, Interval probability, Objective Bayesianism.
Full text:Full text not available from this repository.
Publisher Web site:http://dx.doi.org/10.1007/s10849-005-9005-7
Record Created:09 Jan 2009
Last Modified:08 Apr 2009 16:37

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