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Dec 1998 On association models defined over independence graphs
Nanny Wermuth, David R. Cox
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Bernoulli 4(4): 477-495 (Dec 1998).

Abstract

Conditions on joint distributions are given under which two variables will be conditionally associated whenever an independence graph does not imply a corresponding conditional independence statement. To this end the notions of parametric cancellation, of stable paths and of quasi-linear models are discussed in some detail.

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Nanny Wermuth. David R. Cox. "On association models defined over independence graphs." Bernoulli 4 (4) 477 - 495, Dec 1998.

Information

Published: Dec 1998
First available in Project Euclid: 14 March 2007

zbMATH: 1037.62054
MathSciNet: MR1679794

Keywords: Conditional independence , graphical Markov model , quasi-linear dependence , separation criteria , triangular matrix decomposition

Rights: Copyright © 1998 Bernoulli Society for Mathematical Statistics and Probability

Vol.4 • No. 4 • Dec 1998
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