ArTS Archivio della ricerca di Trieste
ArTS è il sistema di gestione integrata dei dati della ricerca adottato dall' Università degli Studi di Trieste
EnglishA simple procedure based on relabelling to deal with label switching when exploring complex posterior distributions by MCMC algorithms is proposed. Although it cannot be generalized to any situation, it may be handy in many applications because of its simplicity and low computational burden. A possible area where it proves to be useful is when deriving a sample for the posterior distribution arising from finite mixture models when no simple or rational ordering between the components is available.
| Titolo: | Relabelling in Bayesian mixture models by pivotal units |
| Autori: | |
| Data di pubblicazione: | 2016 |
| Abstract: | A simple procedure based on relabelling to deal with label switching when exploring complex posterior distributions by MCMC algorithms is proposed. Although it cannot be generalized to any situation, it may be handy in many applications because of its simplicity and low computational burden. A possible area where it proves to be useful is when deriving a sample for the posterior distribution arising from finite mixture models when no simple or rational ordering between the components is available. |
| Handle: | http://hdl.handle.net/11368/2880881 |
| ISBN: | 9788861970618 |
| Appare nelle tipologie: | 4.1 Contributo in Atti Convegno (Proceeding) |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| Relabelling in Bayesian mixture models by pivotal units_preprint.pdf | Pre-print | Digital Rights Management non definito | Open Access Visualizza/Apri | |
| Pappada_Relabelling in Bayesian mixture models by pivotal units.pdf | Publisher-Version | Digital Rights Management non definito | Administrator Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.