Mixed Effects Modeling with Warping for Functional Data Using B-Spline
Compute the empirical L_2 distance related to the warping function.
Estimate the warping parameters.
Initialize the functional parameters (associated to the aligned curves...
Initialize the warping parameters.
Update the functional parameters (associated to the aligned curves).
Predict the warping parameters.
Estimate the non linear mixed effect functional model.
Compute the warped time points
Mixed effects modeling with warping for functional data using B- spline. Warping coefficients are considered as random effects, and warping functions are general functions, parameters representing the projection onto B- spline basis of a part of the warping functions. Warped data are modelled by a linear mixed effect functional model, the noise is Gaussian and independent from the warping functions.