This review synthesizes imputation methods from classical statistics to deep learning and LLMs, examines their integration with downstream tasks, and outlines challenges for future work.
URL https://www.sciencedirect.com/science/ article/pii/S1574013724001035
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An Interdisciplinary and Cross-Task Review on Missing Data Imputation
This review synthesizes imputation methods from classical statistics to deep learning and LLMs, examines their integration with downstream tasks, and outlines challenges for future work.