Interaction Forward Selection in Ultra-High-Dimension Functional Linear Models.
Objectives: To study the statistical methods for the variable selection in ultra-high dimensional functional linear models. To propose two forward selection procedures on the basis of coefficients approximation. To demonstrate the application of the proposed methodologies.