Speaker: Kang Li (UCF, Mathematics Department) Title: A Kernel Distance Covariance Reliant Fréchet SDR method Abstract: We present a novel Fréchet sufficient dimension reduction (SDR) method using kernel distance covariance to handle metric space-valued responses (e.g., functionals, count data, probability densities). By mapping non- Euclidean responses into a kernel feature space, our approach achieves efficient and flexible dimension reduction. Through …
Mathematics Event