Description Usage Arguments Value
This function create 4 DP RKHS smoothing means from an existing data set with known eigenvalues and eigenvectors
1 2 |
alpha, beta |
Privacy parameters, real numbers |
phi |
real number, penalty parameter |
ro |
range parameter in kernel, real number |
n |
real vector 4*1, number of grid points |
N |
real vector 4*1, number of observations |
tau |
range of the uniform distribution in KL expansion |
pow |
smoothing parameter, e.val.x_i=i^-pow |
mu |
real vector n*1, initial mean vector |
e.val.x |
real vector n*1, eigenvalues |
e.vec.x |
real valued matrix n*N, eigenvectors |
e.val.z |
real valued matrix n*N, eigenvectors of noise |
four DP_Sim output each of them includin "f.tilda","delta","f" and "X"
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