AI RESEARCH
Online Survival Analysis: A Bandit Approach under Cox PH Model
arXiv CS.LG
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ArXi:2604.20296v1 Announce Type: cross Survival analysis is a widely used statistical framework for modeling time-to-event data under censoring. Classical methods, such as the Cox proportional hazards (Cox PH) model, offer a semiparametric approach to estimating the effects of covariates on the hazard function. Despite its importance, survival analysis has been largely unexplored in online settings, particularly within the bandit framework, where decisions must be made sequentially to optimize treatments as new data arrive over time.