Abstract
In this paper, a class of multivariate distributions introduced by Koehler and Symanowski (1995) is discussed with regard to whether it can be reasonably applied in the framework of graphical modeling. Therefore, the focus lies on properties like marginal and conditional independence, marginalization and the flexibility as far as the modeling of a dependence structure is concerned.
Item Type: | Paper |
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Faculties: | Mathematics, Computer Science and Statistics > Statistics > Collaborative Research Center 386 Special Research Fields > Special Research Field 386 |
Subjects: | 500 Science > 510 Mathematics |
URN: | urn:nbn:de:bvb:19-epub-1493-8 |
Language: | English |
Item ID: | 1493 |
Date Deposited: | 04. Apr 2007 |
Last Modified: | 04. Nov 2020, 12:45 |