Functional data analysis (FDA) is the branch of statistics that treats individual observations as continuous functions, curves or surfaces rather than as finite-dimensional vectors. Central to FDA are ...

Functional linear regression analysis extends classical regression to contexts where predictors, responses or both are functions over continuous domains. In scalar-on-function models, a scalar outcome ...