Nonparametric Regression Discontinuity Designs with Survival Outcomes

Collection of new statistical and machine-learning methods across causal inference, conditional-independence testing, robust prediction under confounding, clustering, bandits, reinforcement learning, inference algorithms, missing-data generative modeling, pairwise-comparison modeling, and tensor GLMs. Highlights include: a doubly-robust nonparametric approach for regression discontinuity designs with censored survival outcomes and an R package rdsurvival; the Generalised Kernel Covariance Measure (GKCM) for regression-agnostic kernel CI testing; a debiased machine-learning framework for valid,