A functional polynomial regression

A functional polynomial regression model which includes the functional linear model and
functional quadratic model as two special cases is considered. In functional polynomial
regression, one must balance the costs and benefits of using more parameters in the model.
The method of model detection to determine which orders of the polynomial are significant
in functional polynomial regression is developed. The proposed methods can identify the
true model consistently and have good prediction performances. Numerical studies clearly
confirm our theories.