In the present discussion we highlight the applicability of the method proposed by the authors beyond the space of random partitions, to Directed Acyclic Graphs (DAGs) and to their Markov equivalence classes, namely to Essential Graphs (EGs).

Castelletti, F., Peluso, S. (2018). Bayesian Cluster Analysis: Point Estimation and Credible Balls. Contributed discussion. BAYESIAN ANALYSIS, 47-49.

Bayesian Cluster Analysis: Point Estimation and Credible Balls. Contributed discussion

Stefano Peluso
2018

Abstract

In the present discussion we highlight the applicability of the method proposed by the authors beyond the space of random partitions, to Directed Acyclic Graphs (DAGs) and to their Markov equivalence classes, namely to Essential Graphs (EGs).
Articolo in rivista - Articolo scientifico
Essential Graphs; Directed Acyclic Graphs
English
2018
47
49
none
Castelletti, F., Peluso, S. (2018). Bayesian Cluster Analysis: Point Estimation and Credible Balls. Contributed discussion. BAYESIAN ANALYSIS, 47-49.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

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/10281/266143
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
Social impact