 Function-on-function linear model

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