Computation of Coefficients of Multi-scale SBF's by Ridge Regression

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Description

This function computes coefficients of multi-scale SBF's by ridge regression.

Usage

1
ridge.comp(obs, site, ssite, snet, seta, lam)

Arguments

obs

observations

site

grid points in radian for computing coefficients

ssite

grid points of observation sites in radian used in ridge regression

snet

vector of labels representing sub-networks

seta

bandwidth parameters for Poisson kernel

lam

smoothing parameter for ridge regression

Value

An object of class ‘lsfit’.

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.

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

lscoef.comp, gg.comp, ls.comp.

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