Regression and prediction using functional data
To propose functional response regression models based on the estimation by means of wavelet functions of the FPCA for various explanatory processes. To formulate transfer-function and intervention models for functional data on the basis of non-white noise schemes for the residual inertia process. To extend the functional logistic regression models to the case of a multinomial, nominal or ordinal response variable.