Galimberti, C., Castelletti, F., Peluso, S. (2021). A Bayesian framework for structural learning of mixed graphical models. In CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS. Firenze University Press [10.36253/978-88-5518-340-6].

A Bayesian framework for structural learning of mixed graphical models

Galimberti, C
;
Peluso, S
2021

Capitolo o saggio
conditional gaussian distribution, directed acyclic graph, graphical models, marginal likelihood, mixed variables
English
CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS
2021
9788855183406
Firenze University Press
Galimberti, C., Castelletti, F., Peluso, S. (2021). A Bayesian framework for structural learning of mixed graphical models. In CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS. Firenze University Press [10.36253/978-88-5518-340-6].
open
File in questo prodotto:
File Dimensione Formato  
Galimberti-2021-Cladag2021_BookAbstracts-VoR.pdf

accesso aperto

Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Licenza: Creative Commons
Dimensione 29.09 MB
Formato Adobe PDF
29.09 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/324608
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
Social impact