Description Usage Arguments Details Value References See Also
This function calculates level-dependent thresholded SW coefficients.
1 | mrs.comp.thresh.level(coef, site, netlab, eta, K, policy, Q, type)
|
coef |
coefficients of multi-scale SBF's |
site |
grid points of observation sites in radian |
netlab |
vector of labels representing sub-networks |
eta |
bandwidth parameters for Poisson kernel |
K |
the number of resolution levels to be thresholded in the decomposition |
policy |
threshold technique. At present the possible policies are ‘"universal"’, ‘"fdr"’ and ‘"Lorentz"’. |
Q |
parameter for the false discovery rate of ‘"fdr"’ policy. |
type |
the type of thresholding. This can be ‘"hard"’, ‘"soft"’ or ‘"Lorentz"’. |
This function calculates level-dependent thresholded for selective reconstruction of fields.
talpha |
level-dependent thresholded SW coefficients |
Donoho, D.~L. and Johnstone, I.~M. (1994) Ideal spatial adaptation by wavelet shrinkage. Biometrika, 81, 425–455.
Oh, H-S. (1999) Spherical wavelets and their statistical analysis with applications to meteorological data. Ph.D. Thesis, Department of Statistics, Texas A\&M University, College Station.
Oh, H-S. and Li, T-H. (2004) Estimation of global temperature fields from scattered observations by a spherical-wavelet-based spatially adaptive method. Journal of the Royal Statistical Society Ser. B, 66, 221–238.
mrs.comp.thresh.global, mrsfield.comp.thresh.level
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.