A1063
Title: Exact and assumption-lean change-point detection with applications in post-detection inference
Authors: Guanghui Wang - East China Normal University (China) [presenting]
Abstract: A novel framework for exact change-point detection that ensures valid Type I error rate control in finite samples is introduced. This versatile framework is applicable across a range of change-point models, including high-dimensional contexts. Additionally, its use is explored in quantifying uncertainty in detected change-points, enhancing the reliability of post-detection inference.
