# 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

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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