thresh.level: Level-dependent Thresholding of SW Coefficients
Description
This function calculates level-dependent thresholded SW coefficients.
Usage
thresh.level(x, norm, policy, Q, type)
Arguments
x
coefficients of multiscale SBF's
norm
norm of multiscale SBF's (SW)
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"'.
Value
tgammalevel-dependent thresholded SW coefficients
References
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.