Nonparametric Regression Discontinuity Designs with Survival Outcomes
arXiv 2604.03502•8cac27201d6a34633a18aa64d223d73e6b822e1ea70f53b88be91017ee45991e
FLOWGEMGKCMLD2ZPD2ZQ-learningWasserstein gradient flowbest arm identificationbiconvex biclusteringcensoring correctionconditional independenceconformal predictiondebiased machine learningexpectation propagationhigh-dimensional statisticsimputationintegrable beliefskernel CI testingmissing at randomnonreciprocal matrices','noise calibration','tensor GLM','low-sepairwise comparisonsrdsurvivalregression discontinuityruntime confoundingsemiparametric banditssurvival analysis
Paper metadata
- arXiv ID
- 2604.03502
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
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Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- 8cac27201d6a34633a18aa64d223d73e6b822e1ea70f53b88be91017ee45991e
- Enrichment time
- 2026-04-07T07:24:04Z
- AI-assisted enrichment
- Yes
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