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EnglishWe address the question as to whether a prior distribution on the space of distribution functions exists which generates the posterior produced by Efron's and Rubin's bootstrap techniques, emphasizing the connections with the Dirichlet process. We also introduce a new resampling plan which has two advantages: prior opinions are taken into account and the predictive distribution of the future observations is not forced to be concentrated on observed values.
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| Titolo: | Bayesian nonparametric predictive inference and bootstrap techniques | |
| Data di pubblicazione: | 1996 | |
| Autori: | ||
| Autori: | Muliere, Pietro; P., Secchi | |
| Rivista: | ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS | |
| Abstract: | We address the question as to whether a prior distribution on the space of distribution functions exists which generates the posterior produced by Efron's and Rubin's bootstrap techniques, emphasizing the connections with the Dirichlet process. We also introduce a new resampling plan which has two advantages: prior opinions are taken into account and the predictive distribution of the future observations is not forced to be concentrated on observed values. | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/BF00052326 | |
| Appare nelle tipologie: | 01 - Article in academic journal / Articolo su rivista scientifica |
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http://hdl.handle.net/11565/2379391
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