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Copula identifiability conditions for dependent truncated data model
Authors:A. Adam Ding
Affiliation:Department of Mathematics, Northeastern University, Boston, MA, 02115, USA, a.ding@neu.edu.
Abstract:We provide a copula identifiability condition for dependent truncated data model. The identifiability is characterized by the strong lower-left tail identifiability of the copula family. We show that the commonly used Archimedean copula families with analytic generator functions satisfy this condition.
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