Characterization of convolution splitting graphical models

Jean Peyhardi 1, 2, 3 Pierre Fernique 4, 1
1 VIRTUAL PLANTS - Modeling plant morphogenesis at different scales, from genes to phenotype
CRISAM - Inria Sophia Antipolis - Méditerranée , INRA - Institut National de la Recherche Agronomique, UMR AGAP - Amélioration génétique et adaptation des plantes méditerranéennes et tropicales
Abstract : We aim at characterizing graphical models for convolution splitting distributions. Only marginal independence have been studied through the well-known Rao–Rubin condition. We generalize this condition for conditional independence and deduce the desired characterizations.
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https://hal.inria.fr/hal-01286173
Contributor : Pierre Fernique <>
Submitted on : Thursday, March 10, 2016 - 6:21:31 PM
Last modification on : Tuesday, June 25, 2019 - 1:27:16 AM

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Jean Peyhardi, Pierre Fernique. Characterization of convolution splitting graphical models. Statistics and Probability Letters, Elsevier, 2017, 126, ⟨10.1016/j.spl.2017.02.018⟩. ⟨hal-01286173⟩

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