Modelization for Functional AutoRegressive Processes
Creating functional basis
Changing Basis
Extract Model Coefficients
Extract the date of fdata
Apply functions over a fdata object
Cross Validation for FARX(1) model
FARX(1) model estimation
Functional Data class
Interpolation matrix
Generalized inverse of a Matrix
Not Available / ``Missing'' Values
Functional Kernel estimation
Maxima of functional data
Multivariate plots
Orthonormalization of a set of a matrix
Plot Functional Data
Forecasting using functional persistence
Forecasting of FARX(1) model
Forecasting of functional kernel model
Subscript of fdata
FAR(1) process simulation
FAR-SDE process simulation
FAR(1) process simulation with Wiener noise
FARX(1) process simulation
Wiener process simulation
Modelizations and previsions functions for Functional AutoRegressive processes using nonparametric methods: functional kernel, estimation of the covariance operator in a subspace, ...