arXiv stat.ML
· Papers
Doubly Robust Functional Representation Learning for Longitudinal Causal Inference with Irregular Histories
arXiv:2607.28567v1 Announce Type: new Abstract: Longitudinal causal studies often record histories as irregular functional fragments: laboratory values, physiologic signals, sensor streams, and image-derived summaries measured at unequal and informative times. Standard doubly robust estimators usually require scalar su