Model Determination for Directed Acyclic Graphs

G. Consonni; Guido Consonni; V. Leucari; Valentina Leucari

doi:10.1111/1467-9884.00275

Model Determination for Directed Acyclic Graphs

G. Consonni
, Guido Consonni
, V. Leucari
, Valentina Leucari

University of Pavia

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

5 Citazioni (Scopus)

Abstract

Directed acyclic graphs (DAGs) have become increasingly popular to communicate, model and manage complex systems efficiently. They also represent a major tool in probabilistic expert systems. We address the issue of model determination for DAGs, with respect to a given ordering of the variables, together with the corresponding parameter estimation, and show how this can be done in a simple way using available software for Bayesian data analysis, such as BUGS

Lingua originale	Inglese
pagine (da-a)	243-256
Numero di pagine	14
Rivista	JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES D-THE STATISTICIAN
Volume	50
DOI	https://doi.org/10.1111/1467-9884.00275
Stato di pubblicazione	Pubblicato - 2001

Keywords

Bayesian model selection
Bayesian network

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10.1111/1467-9884.00275

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abstract = "Directed acyclic graphs (DAGs) have become increasingly popular to communicate, model and manage complex systems efficiently. They also represent a major tool in probabilistic expert systems. We address the issue of model determination for DAGs, with respect to a given ordering of the variables, together with the corresponding parameter estimation, and show how this can be done in a simple way using available software for Bayesian data analysis, such as BUGS",

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author = "G. Consonni and Guido Consonni and V. Leucari and Valentina Leucari",

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AU - Consonni, Guido

AU - Leucari, V.

AU - Leucari, Valentina

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KW - Bayesian model selection

KW - Bayesian network

KW - Bayesian model selection

KW - Bayesian network

UR - http://hdl.handle.net/10807/12347

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DO - 10.1111/1467-9884.00275

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ER -

Model Determination for Directed Acyclic Graphs

Abstract

Keywords

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