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Several characterizations of the Generalized Inverse Gaussian (GIG)distribution have been proposed in the literature, especially over the past twodecades. These characterization theorems are surveyed, and two newcharacterizations are established, one based on maximum likelihood estimationand the other is a Stein characterization.

Characterizations of GIG laws: a survey complemented with two new results