Abstract
We say that a random variate on a Euclidean space is marginal infinitely divisible with respect to a class of linear mappings on that space if each of these mappings results in an infinitely divisible random variate. Special cases are applied in a multivariate extension of the concept of type G probability laws. Random nonnegative matrices play a central role.
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