Function-on-function linear model
= Function-on-function linear model
A function-on-function linear model has $Y(t)=\int\beta(t,s)X(s)ds+\varepsilon(t)$. If the centered error is independent of $X$, then $\mathbb E[Y\mid X]$ is the regression operator applied to $X$.