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Knowledge Quiz

Test your understanding of this article

1.What is a common limitation of traditional imputation methods when dealing with missing data?

2.What crucial issue do recent deep learning imputation methods often neglect when dealing with Missing-Not-At-Random (MNAR) data?

3.What is the core assumption made by the proposed novel framework to establish data distribution identifiability?

4.Which algorithm is utilized by the proposed method to effectively estimate unknown parameters?