Computes the linearized likelihood for a single functional sample given the residual around a given warp and the corresponding Jacobians.
1 |
param |
variance parameters. |
sigma_sq |
maximum likelihood estiamte for sigma_sq. |
n_par |
vector consisting of number of variance parameters for each covariance function. |
r |
residual. |
Zi |
Jacobian in the warps of the mean function around the given warp. |
amp_cov |
function for generating amplitude covariance matrix. |
warp_cov |
function for generating warp covariance function |
t |
time variable corresponding to r. |
tw |
anchor points for warp variables. |
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