| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5129908 | Statistics & Probability Letters | 2017 | 6 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Jean Peyhardi, Pierre Fernique,