Robust Bayesian Graphical Modeling Using Dirichlet t-Distributions Contributed Discussion

Guido Consonni

Robust Bayesian Graphical Modeling Using Dirichlet t-Distributions Contributed Discussion

Guido Consonni

Risultato della ricerca: Contributo in rivista › Articolo in rivista › peer review

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.

Lingua originale	English
pagine (da-a)	561-563
Numero di pagine	3
Rivista	Bayesian Analysis
Volume	9
Stato di pubblicazione	Pubblicato - 2014

Keywords

Graphical model

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title = "Robust Bayesian Graphical Modeling Using Dirichlet t-Distributions Contributed Discussion",

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.",

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author = "Guido Consonni",

year = "2014",

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journal = "Bayesian Analysis",

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SN - 1931-6690

VL - 9

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JO - Bayesian Analysis

JF - Bayesian Analysis

ER -

Robust Bayesian Graphical Modeling Using Dirichlet t-Distributions Contributed Discussion

Abstract

Keywords

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