The Annals of Statistics

Addendum on the scoring of Gaussian directed acyclic graphical models

Jack Kuipers, Giusi Moffa, and David Heckerman

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We provide a correction to the expression for scoring Gaussian directed acyclic graphical models derived in Geiger and Heckerman [Ann. Statist. 30 (2002) 1414–1440] and discuss how to evaluate the score efficiently.

Article information

Ann. Statist. Volume 42, Number 4 (2014), 1689-1691.

First available in Project Euclid: 7 August 2014

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Digital Object Identifier

Mathematical Reviews number (MathSciNet)

Zentralblatt MATH identifier

Primary: 62-07: Data analysis 62F15: Bayesian inference 62H99: None of the above, but in this section

Gaussian DAG models Bayesian network learning BGe score


Kuipers, Jack; Moffa, Giusi; Heckerman, David. Addendum on the scoring of Gaussian directed acyclic graphical models. Ann. Statist. 42 (2014), no. 4, 1689--1691. doi:10.1214/14-AOS1217.

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  • Kuipers, J., Moffa, G. and Heckerman, D. (2014). Supplement to “Addendum on the scoring of Gaussian directed acyclic graphical models.” DOI:10.1214/14-AOS1217SUPP.
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Supplemental materials

  • Supplementary material: Deriving and simplifying the BGe score. We detail the steps used to derive (2) and simplify the ratios appearing in (1) to improve the numerical computation of the score.