Fang Yao

Functional linear regression from sparse to dense designs: a pooling-ridge method and minimax optimality

A novel approach is proposed, referred to as pooling ridge estimation, which combines the advantages of pooling strategy and RKHS-based method by incorporating the unbiased estimation of operators based on discretely observed measurements from all subjects, to achieve minimax optimality in prediction risk in arbitrary...