arXiv stat.ML
· Papers
Towards Efficient Inference under Nonmonotone Missingness with General Imputation
arXiv:2509.24158v2 Announce Type: replace-cross Abstract: Missing data are ubiquitous in classical survey and longitudinal studies as well as modern multi-modality data analysis. A longstanding challenge arises under nonmonotone missingness, where different units may observe arbitrary subsets of all variables. We study