报告题目：Semiparametric Inference for Functional Survival Models
内容摘要：In recent years, there has been growing interest among researchers in modeling right-censored survival data with functional covariates. While existing functional methods primarily focus on the Cox model, its proportional hazard assumption can be challenging to verify and may be violated in practice. To address this issue, we extend the ordinary differential equation framework for survival data to incorporate functional covariates and develop an inference procedure for both scalar and functional parameters. Specifically, we establish the asymptotic normality and semiparametric efficiency for the scalar coefficient estimators, enabling a valid inference procedure. Additionally, we derive an asymptotic simultaneous confidence band for the functional parameter. Simulations are conducted to evaluate the finite sample performance of the proposed method.
主讲人简介：钟齐先，清华大学数学博士（2021年），现任厦门大学经济学院、王亚南经济研究院副教授。主要研究领域为生存数据、深度学习、函数型数据分析和因果推断等。相关学术成果发表在AOS、Biometrika、JOE、JBES、NeurIPS等学术期刊或会议上，主持国家自然科学基金青年和面上项目各一项，主要参与一项国家重点研发计划青年科学家项目。担任AOS、JRSSB、JASA、Biometrika、JOE、JMLR等学术期刊的匿名审稿人。
报告时间：2025年9月16日(周二)，16:30-18:00
线下地点：厦门大学经济楼C108
线上地点：腾讯会议 ID：189 862 932
