IDWSDS 2025 - S108: Challenges in Modern Statistical Inference скачать в хорошем качестве

IDWSDS 2025 - S108: Challenges in Modern Statistical Inference

The WISK (Women in Statistics in Korea) session focuses on the pressing challenges in modern statistical inference. Contemporary statistical inference must address issues arising from massive and complex data, computational constraints, limited interpretability, and evolving understanding of core statistical concepts. There is a growing demand for statistical methods capable of handling high-dimensional and complex data structures while still delivering reliable, interpretable, and actionable results. ORGANIZER: Jaehee Kim, Duksung Women's University CHAIR: Yang-Jin Kim, Sookmyung Women’s University TITLES AND SPEAKERS: Black-Box Tests for Algorithmic Stability, Byol Kim, Sookmyung Women’s University Survival Analysis in Subsampled Cohorts: Making the Most of Limited Data, Yei Eun Shin, Seoul National University Immortal Time Bias in Failure Time Analysis, Jooyoung Lee, Chung-Ang University