Statistical Information: A Bayesian Perspective
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
|---|---|
| Data(s) |
01/11/2013
01/11/2013
2012
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| Resumo |
We explore the meaning of information about quantities of interest. Our approach is divided in two scenarios: the analysis of observations and the planning of an experiment. First, we review the Sufficiency, Conditionality and Likelihood principles and how they relate to trivial experiments. Next, we review Blackwell Sufficiency and show that sampling without replacement is Blackwell Sufficient for sampling with replacement. Finally, we unify the two scenarios presenting an extension of the relationship between Blackwell Equivalence and the Likelihood Principle. CNPq CNPq FAPESP FAPESP |
| Identificador |
ENTROPY, BASEL, v. 14, n. 11, supl. 4, Part 1-2, pp. 2254-2264, NOV, 2012 1099-4300 http://www.producao.usp.br/handle/BDPI/37506 10.3390/e14112254 |
| Idioma(s) |
eng |
| Publicador |
MDPI AG BASEL |
| Relação |
ENTROPY |
| Direitos |
openAccess Copyright MDPI AG |
| Palavras-Chave | #STATISTICAL INFORMATION #BLACKWELL SUFFICIENCY #LIKELIHOOD PRINCIPLE #INFERENCE #PHYSICS, MULTIDISCIPLINARY |
| Tipo |
article original article publishedVersion |
