Functional linear regression that’s interpretable
可解释的函数型线性回归
Regression models to relate a scalar Y to a functional predictor X(t) are becoming increasingly common. Work in this area has concentrated on estimating a coefficient function, β(t), with Y related to X(t) through ∫β(t)X(t) dt. Regions where β(t)≠0 correspond to places where there is a relationship between X(t) and Y. Alternatively, points where β(t)=0 indicate no relationship. Hence, for interpretation purposes, it is desirable for a regression procedure to be capable of…