gg.comp: Computation of Design Matrix induced by Multi-scale SBF's for Ridge Regression
Description
This function computes design matrix induced by multi-scale SBF's for ridge regression.
Usage
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.