Characterization of convolution splitting graphical models
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.
| Format | Figure, Image |
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| Origin | Files produced by the author(s) |