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.
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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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