For variable subset forecasting, a jointly trained imputation and forecasting framework that optimizes imputed values for forecast accuracy outperforms traditional imputation and can beat full-data forecasting.
Deep learning for multivariate time series imputation: A survey,
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Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset
For variable subset forecasting, a jointly trained imputation and forecasting framework that optimizes imputed values for forecast accuracy outperforms traditional imputation and can beat full-data forecasting.