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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. |
| Codice identificativo Scopus: | 2-s2.0-0009908971 |
| Codice identificativo ISI: | WOS:A1996WA05100005 |
| 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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