Mixture Model - Identifiability

Identifiability

Identifiability refers to the existence of a unique characterization for any one of the models in the class being considered. Estimation procedure may not be well-defined and asymptotic theory may not hold if a model is not identifiable.

Read more about this topic:  Mixture Model