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| Titel: |
Accuracy, confidence and consensus in bayesian hypothesis inference |
| Auteur: |
Owenα, Roger J. |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 14 (1985) nr. 5 pagina's 1035-1052 |
| Jaar: |
1985 |
| Inhoud: |
Interest centres on a group of statisticians , each supplied with the same n sample datapoint sandmaking formal Bayesian inference with a common likelihood function but differing prior knowledge and utility functions. Definitions are proposed which quantify, in a commensurable way, the inference processes of “accuracy”, “confidence” and “consensus” for the case of hypothesis inference with a fixed sample size n. The general significance of comparing the three quantifiers is considered. As n increases the asymptotic behaviour of the quantifiers is evaluated and it is found that the three rates of convergence are of the same order as a function of n. The results are interpreted and some of their implications are discussed. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 1 van 14 gevonden artikelen
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