Challenges in high dimensional change point analysis and advanced approaches
(2024)
Presentation / Conference Contribution
Albalawi, S., & Drikvandi, R. (2024, August). Challenges in high dimensional change point analysis and advanced approaches. Presented at 6th International Conference on Statistics: Theory and Applications (ICSTA'24), Barcelona, Spain
Change point analysis aims at identifying significant distributional shifts and changes in data sequences. While the problem has been extensively studied for standard low dimensional data, the transition to high dimensional data imposes several chall... Read More about Challenges in high dimensional change point analysis and advanced approaches.