This function calculates global thresholding value for spherical wavelet estimator.
Usage
lambda.global(swd, policy, nthresh, value, Q)
Arguments
swd
an object of class `swd'
policy
threshold technique. At present the possible policies are
`"universal"', `"probability"', `"fdr"', `"Lorentz"' and `"sure"'.
nthresh
the number of resolution levels to be thresholded in the decomposition
value
the user supplied threshold represented by quantile level of `"probability"' policy.
Q
parameter for the false discovery rate of `"fdr"' policy.
Value
lamglobal thresholding value
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.