principal component analysis (PCA)-based estimator of the slope function in a functional
linear regression model with a scalar response variable and a functional predictor variable.
A PCA-based estimator is a series estimator with estimated basis functions; thus,
constructing these valid confidence bands is a nontrivial challenge. We propose a
confidence band that covers most of the slope function with a prespecified probability (level) …