Computation of Design Matrix induced by Multi-scale SBF's for Ridge Regression

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Description

This function computes design matrix induced by multi-scale SBF's for ridge regression.

Usage

1
gg.comp(site1, site2, ssite1, ssite2, snet, seta, lam) 

Arguments

site1

latitudes of observation sites in radian

site2

longitudes of observation sites in radian

ssite1

latitudes of observation sites in radian used in least squares method

ssite2

longitudes of observation sites in radian used in least squares method

snet

vector of labels representing sub-networks

seta

bandwidth parameters for Poisson kernel

lam

smoothing parameter for ridge regression

Value

gg

design matrix induced by multi-scale SBF's for ridge regression.

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.

Li, T-H. (1999) Multiscale representation and analysis of spherical data by spherical wavelets. SIAM Journal on Scientific Computing, 21, 924–953.

See Also

lscoef.comp, gg.comp, ridge.comp.

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