R. Nzoyem

Evaluating Deep Multivariate Imputation Models on Wearable Device Data

An evaluation protocol is developed that mines contiguous missing-run templates from training data, stratifies them by per-feature gap-length quantiles, and injects them as block masks with preserved co-missingness structure, establishing critical steps towards developing better imputation strategies for future multi-s...