Use the wavelet coefficients from the selected WiSE bootstrap model to construct smooth bootstrap series in the original time/space domain. This function may be of little use and creates large array objects within R. The wavelet coefficients are a preferable representation of the data, as they are sparse and contain the signal information.
an object obtained from
wavethresh package is used to perform the inverse wavelet decomposition of each bootstrap sample of wavelet coefficients.
The bootstrap series will be smoothed to the selected threshold level, J0=j (see
an array. The rows contain each bootstrap sample – dimension is the
For an overview of the wavelet methodology used in
wavethresh, see "Wavelet Methods for Statistics in R," (Nason, 2008).
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