报 告 题 目 ： A unified approach to variable selection for the non-mixture transformation cure model with interval-censored data and application to Alzheimer's disease

报告人：赵波，长春工业大学 博士

报告时间：2026 年 3 月 15 日，15:30

邀请人：陈锋

报告地点：团风报告厅、#腾讯会议：804-620-1330

Abstract ： In this talk, we study three-dimensional quasi-static electroporoelasticity equations to establish a well-posedness theory and propose some numerical approximations. The electroporoelasticity model, which comprises of Maxwell's equations with Biot's equations, plays a critical role in many fields such as oil-gas exploration, water conservancy exploration, earthquake early warning and some other areas in geophysics, etc. We first apply a Galerkin method to set up the well-posedness. Then, we study a splitting finite element approximation to improve the computational efficiency. In view of distinct time scales of the development of electromagnetic waves and elastic waves, we construct a multi-time stepping numerical algorithm to accelerate numerical computations. We also investigate the numerical stability as the Lamé constant tending to infinity or the hydraulic conductivity varying randomly. Finally, we present some numerical experiments to validate all theoretical findings.

报告人简介：赵波，理学博士，主要研究领域为生物统计复杂区间删失数据 联合建模，半参数统计推断方法。 在 Analysis and Applications，Biometrical Journal ， Statistical Papers ， Lifetime Data Analysis ， International Journal of Biostatistics 等期刊发表 SCI 检索论文 12 篇。主持吉林省自然科学基金项目 1 项，吉林省博士后择优资助项目 1 项，获吉林省自然科学成果奖三等奖 1 项。