The paper adapts nonlinear-ICA identifiability to time series imputation and claims separable latent states and missing-cause variables are identifiable under MAR and MNAR, but the missing-cause proof omits the missingness mask.
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Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
The paper adapts nonlinear-ICA identifiability to time series imputation and claims separable latent states and missing-cause variables are identifiable under MAR and MNAR, but the missing-cause proof omits the missingness mask.