Generation of Detailed Fields by Level-dependent Thresholding

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Description

This function generates detailed fields based on level-dependent thresholding of SW coefficients.

Usage

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mrsfield.comp.thresh.level(grid, coef, site, netlab, eta, K, 
policy, Q, type)

Arguments

grid

grid points of extrapolation sites in radian

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"’.

Details

This function calculates level-dependent thresholded detailed fields.

Value

dfield

level-dependent thresholded detailed fields

References

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.

See Also

sbf, swd, swthresh, swr

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