A structural Markov property for decomposable graph laws that allows control of clique intersections-Reference-Cited by-同舟云学术

A structural Markov property for decomposable graph laws that allows control of clique intersections

Published:2017-12-11 Issue:1 Volume:105 Page:19-29
ISSN:0006-3444
Container-title:Biometrika
language:en
Short-container-title:

Author:

Green Peter J¹,Thomas Alun²

Affiliation:

1. School of Mathematical and Physical Sciences, University of Technology Sydney, Broadway, Sydney, New South Wales 2007, Australia P.J.Green@bristol.ac.uk

2. Division of Genetic Epidemiology, Department of Internal Medicine, University of Utah, 391 Chipeta Way, Suite D, Salt Lake City, Utah 84108, U.S.A. Alun.Thomas@utah.edu

Funder

National Institutes of Health

National Center for Advancing Translational Sciences

National Center for Research Resources

University of Bristol

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Mathematics,Statistics and Probability

Link

http://academic.oup.com/biomet/article-pdf/105/1/19/24331683/asx072.pdf

Reference10 articles.

1. Bayesian clustering in decomposable graphs.;Bornn;Bayesian Anal.,2011

2. The performance of covariance selection methods that consider decomposable models only.;Fitch;Bayesian Anal.,2014

3. Sampling decomposable graphs using a Markov chain on junction trees.;Green;Biometrika,2013

4. Experiments in stochastic compuation for high-dimensional graphical models.;Jones;Statist. Sci.,2005

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