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This paper puts forward a new multiscale decomposition. This can be applied to nonparametric regression, in particular so as to smooth non-equispaced univariate data. We introduce an original version of the lifting scheme which uses smoothing kernels. This multiscale approach can naturally deal with non-equispaced data. Besides we propose an algorithm based on this approach that gives approximations...
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