CINECA IRIS Institutional Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishWe show how to approximate de Finetti's measure of a partially exchangeable sequence by a mixture of products of Dirichlet measures, explicitly built once the approximation error has been fixed. These results are used to give a general method for the elicitation of prior distributions corresponding to partially exchangeable sequences, when prior information essentially derive from available data relative to phenomena similar to that we consider.
PRODOTTO NON ANCORA VALIDATO
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
| Titolo: | Approximating de Finetti’s Measures for Partially Exchangeable Sequences. |
| Data di pubblicazione: | 2000 |
| Autori: | |
| Autori: | GUGLIELMI A.; E. MELILLI |
| Rivista: | STATISTICS & PROBABILITY LETTERS |
| Abstract: | We show how to approximate de Finetti's measure of a partially exchangeable sequence by a mixture of products of Dirichlet measures, explicitly built once the approximation error has been fixed. These results are used to give a general method for the elicitation of prior distributions corresponding to partially exchangeable sequences, when prior information essentially derive from available data relative to phenomena similar to that we consider. |
| Appare nelle tipologie: | 01 - Article in academic journal / Articolo su rivista Scientifica |
File in questo prodotto:
Copyright © 2019