SpherWave (version 1.2.2)

ridge.comp: Computation of Coefficients of Multi-scale SBF's by Ridge Regression

Description

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

Usage

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.