Enhancing Reliable Data Sciences: Statistical Analysis for High-dimensional and Noisy Datasets with Complex Temporal and Nonlinear Structures

This project develops new statistical and computational methods to enhance the reliability of data analysis in modern, large-scale datasets, particularly in the era of AI. As data science becomes increasingly central to fields such as finance, medicine, and engineering, there is a critical need for tools that can accurately analyze…