The paper we discuss provides both theoretical and computational results for robust structure estimation in decomposable graphical models. We will comment on prior speci cation, in order to add further insights. Notice that model choice results strongly depend on prior speci cation.

Consonni, G., La Rocca, L., Robust Bayesian Graphical Modeling Using Dirichlet t-Distributions Contributed Discussion, <<BAYESIAN ANALYSIS>>, 2014; 9 (N/A): 561-563 [http://hdl.handle.net/10807/63878]

Robust Bayesian Graphical Modeling Using Dirichlet t-Distributions Contributed Discussion

Consonni, Guido;
2014

Abstract

The paper we discuss provides both theoretical and computational results for robust structure estimation in decomposable graphical models. We will comment on prior speci cation, in order to add further insights. Notice that model choice results strongly depend on prior speci cation.
2014
Inglese
Consonni, G., La Rocca, L., Robust Bayesian Graphical Modeling Using Dirichlet t-Distributions Contributed Discussion, <<BAYESIAN ANALYSIS>>, 2014; 9 (N/A): 561-563 [http://hdl.handle.net/10807/63878]
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/10807/63878
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact