ridge.comp: Computation of Coefficients of Multi-scale SBF's by Ridge...
In SpherWave: Spherical Wavelets and SW-based Spatially Adaptive Methods
Description
Usage
Arguments
Value
References
See Also
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.
SpherWave documentation built on April 14, 2017, 1:28 p.m.
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Description Usage Arguments Value References See Also
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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